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Digital-Market Regulation: One Size Does Not Fit All

Lazar Radic — 17 April 2023

Regulators around the globe are scrambling for a silver bullet to “tame” tech companies. Whether it’s the United States, the United Kingdom, Australia, South Africa, or Canada, the animating rationale behind such efforts is that firms like Google, Apple, Meta, and Amazon (GAMA) engage in undesirable market conduct that falls beyond the narrow purview of antitrust law (here and here).

To tackle these supposed ills, which range from exclusionary practices and disinformation to encroachments on privacy and democratic institutions, it is asserted that sweeping new ex ante rules must be enacted and the playing field tilted in favor of enforcement agencies, which have hitherto faced what advocates characterize as insurmountable procedural hurdles (here and here).

Amid these international calls for regulatory intervention, the EU’s Digital Markets Act (DMA) has been seen as a lodestar by advocates of more aggressive competition policy. Beyond addressing social anxieties about unchecked tech power, the DMA’s primary appeal is that it claims to strive for two goals with almost universal appeal: fairness and market contestability.

Unfortunately, the DMA is not the paragon of regulation that it is sometimes made out to be. Indeed, the law is structured less to forward any purportedly universal set of principles, but instead to align digital platforms’ business models with an idiosyncratic and specifically European industrial policy, rooted in politics and protectionism. As explained below, it is unlikely other countries would benefit from emulating this strategy.

The DMA’s Protectionist Origins

While the DMA is today often lauded as eminently pro-competition (here and here), prior to its adoption, many leading European politicians were touting the text as a protectionist industrial-policy tool that would hinder U.S. firms to the benefit of European rivals: a far cry from the purely consumer-centric tool it is sometimes made out to be. French Minister of the Economy Bruno Le Maire, for example, acknowledged as much in 2021 when he said:

Digital giants are not just nice companies with whom we need to cooperate, they are rivals, rivals of the states that do not respect our economic rules, which must therefore be regulated… There is no political sovereignty without technological sovereignty. You cannot claim sovereignty if your 5G networks are Chinese, if your satellites are American, if your launchers are Russian and if all the products are imported from outside.

This logic dovetails neatly with the EU’s broader push for “technology sovereignty,” a strategy intended to reduce the continent’s dependence on technologies that originate abroad. The strategy already has been institutionalized at different levels of EU digital and industrial policy (see here and here). In fact, the European Parliament’s 2020 Briefing on “Digital Sovereignty for Europe” explicitly anticipates that an ex ante regulatory regime similar to the DMA would be a central piece of that puzzle. French President Emmanuel Macron summarized it well when he said:

If we want technological sovereignty, we’ll have to adapt our competition law, which has perhaps been too much focused solely on the consumer and not enough on defending European champions.

Moreover, it can be argued that the DMA was never intended to promote European companies that could seriously challenge the dominance of U.S. firms (see here at 13:40-14:20). Rather, the goal was always to redistribute rents across the supply chain away from digital platforms and toward third parties and competitors (what is referred to as “business users,” as opposed to “end users”). After all, with the arguable exception of Spotify and Booking.com, the EU has none of the former, and plenty of the latter. Indeed, as Pablo Ibañez Colomo has written:

The driver of many disputes that may superficially be seen as relating to leveraging can be more rationalised, more convincingly, as attempts to re-allocate rents away from vertically-integrated incumbents to rivals.

Alternative Digital Strategies to the DMA

While the DMA strives to use universal language and has a clear ambition to set global standards, under this veneer of objectivity lies a very particular vision of industrial policy and a certain normative understanding of how rents should be allocated across the value chain. That vision is not apt for everyone and, indeed, may not be apt for anyone (see here). Other countries can certainly look to the EU for inspiration and, admittedly, it would be ludicrous to expect them to ignore what goes on in the bloc.

When deciding whether and what sort of legislation to enact, however, other countries should ultimately seek those approaches that are appropriate to their own context. What they ought not do is reflexively copy templates made with certain goals in mind, which they might not share and which may be diametrically opposed to their own interests or values. Below are some suggestions for alternative strategies to the DMA.

Doubling Down on Sound Competition Laws

Mounting evidence suggests that tech companies increasingly consider the costs of regulatory compliance in planning their business strategy. For example, Meta is reportedly considering shutting down political advertising in Europe to avoid the hassle of complying with the EU’s upcoming rules on online campaigning. Just this week, it was revealed that Twitter may be considering pulling out of the EU because it doesn’t have the capacity to comply with the Code of Practice on Disinformation, a “voluntary” agreement that the Digital Services Act (DSA) will nevertheless make binding.

While perhaps the EU—the world’s third largest economy—can afford to impose costly and burdensome regulation on digital companies because it has considerable leverage to ensure (with some, though as we have seen, by no means absolute, certainty) that they will not desert the European market, smaller economies that are unlikely to be seen by GAMA as essential markets are playing a different game.

Not only do they have much smaller carrots to dangle, but they also disproportionately benefit from the enormous infrastructural investments and consumer benefits brought by GAMA (see, for example, here and here). In this context, the wiser strategy for smaller, ostensibly “nonessential” markets might be to court GAMA, rather than to castigate it. Instead of imposing intricate, costly, and untested regulatory obligations on digital platforms, these countries may reasonably wish to emphasize or bolster the transparency, predictability, and procedural safeguards (including credible judicial review) of their competition-law systems. After all, to regulate competition, you must first attract it.

Indeed, while competition is as important in developing markets as developed ones, developing markets are especially dependent upon competition rules that encourage investment in infrastructure to facilitate economic growth and that offer a secure environment for ongoing innovation. Particularly for relatively young, rapidly evolving industries like digital markets, attracting consistent investment and industry know-how ensures that such markets can innovate and transition into maturity (here and here).

Moreover, the case-by-case approach of competition law allows enforcers to tackle harmful behavior while capturing digital platforms’ procompetitive benefits, rather than throwing the baby out with the bathwater by imposing blanket prohibitions. As Giuseppe Colangelo has suggested, the assumption that competition laws are insufficient to tackle anticompetitive conduct in digital markets is a questionable one, given that most of the DMA’s contemplated prohibitions have also been the object of separate antitrust suits in the EU.

Careful Consideration of Costs and Unintended Consequences

DMA-style ex ante regulation is still untested. Its benefits, if any, still remain mostly theoretical. A tradeoff between, say, foreign direct investment (FDI) and ex ante regulation might make sense for some emerging markets if it was clear what was being traded, and at what cost. Alas, such regulations are still in an incipient phase.

The U.S. antitrust bills targeting a handful of companies seem unlikely to be adopted soon; the UK’s Digital Markets Unit proposal has still not been put to Parliament; and Japan and South Korea have imposed codes of conduct only in narrow areas. Even the DMA—the most comprehensive legislative attempt to “rein in” digital companies—entered into force only last October, and it will not start imposing its obligations on gatekeepers until February or March 2024, at the earliest.

At the same time, there are a range of risks and possible unintended consequences associated with the DMA, such as the privacy dangers of sideloading and interoperability mandates; worsening product quality as a result of blanket bans on self-preferencing; decreased innovation; obstruction of the rule of law; and double and even triple jeopardy because of the overlaps between the DMA and EU competition rules.

Despite the uncertainty inherent in deploying experimental regulation in a fast-moving market, the EU has clearly decided that these risks are not sufficient to offset the DMA’s benefits (see here for a critical appraisal). But other countries should not take their word for it.

In conducting an independent examination, they may place more value on some of the DMA’s expected negative consequences, or may find their likelihood of occurring to be unacceptably high. This could be due to endogenous or highly context-dependent factors. In some cases, the tradeoff could mean too large a sacrifice of FDI, while in others, the rules could impinge on legitimate policy priorities, like national security. In either case, countries should evaluate the risks and benefits of the ex ante regulation of digital platforms themselves, and go their own way.

Conclusion

There are, of course, other good reasons why the DMA shouldn’t be so readily emulated by everyone, everywhere, all at once.

Giving enforcers wide discretionary powers to reshape digital markets and override product-design decisions might not be a good idea in countries with a poor track record of keeping corruption in check, or where enforcers lack the required know-how to do so effectively. Simple norms, backed by the rule of law, may not be sufficient to counteract these background conditions. But they also may be preferable to the broad mandates and tools envisioned by the kinds of ex ante regulatory proposals currently in vogue.

Smaller countries with limited budgets would probably also benefit more from castigating unequivocally harmful (and widespread) conduct, like cartels (the “cancers of the market economy”), bid rigging, distortive state aid, and mergers that create actual monopolies (see, for example, here and here), rather than applying experimental regulation underpinned by tenuous theories of harm and indeterminate benefits .

In the end, the DMA has been mistakenly taken to be a panacea or a blueprint for how to regulate tech, when it is neither of these two things. It is, instead, a particularistic approach that may or may not achieve its stated goals. In any case, it must be understood as an outgrowth of a certain industrial-policy strategy and a sui generis vision of how digital markets should distribute rents (spoiler alert: in the interest of European companies).

In Amazon, Antitrust & Competition, Apple, European Union, Facebook, Google, International, Platforms, Truth on the Market Digital Markets Act, Digital Services Act, EU, Protectionism

How Will the Law Deal with AI Getting Facts Wrong?

Ben Sperry — 3 March 2023

It seems that large language models (LLMs) are all the rage right now, from Bing’s announcement that it plans to integrate the ChatGPT technology into its search engine to Google’s announcement of its own LLM called “Bard” to Meta’s recent introduction of its Large Language Model Meta AI, or “LLaMA.” Each of these LLMs use artificial intelligence (AI) to create text-based answers to questions.

But it certainly didn’t take long after these innovative new applications were introduced for reports to emerge of LLM models just plain getting facts wrong. Given this, it is worth asking: how will the law deal with AI-created misinformation?

Among the first questions courts will need to grapple with is whether Section 230 immunity applies to content produced by AI. Of course, the U.S. Supreme Court already has a major Section 230 case on its docket with Gonzalez v. Google. Indeed, during oral arguments for that case, Justice Neil Gorsuch appeared to suggest that AI-generated content would not receive Section 230 immunity. And existing case law would appear to support that conclusion, as LLM content is developed by the interactive computer service itself, not by its users.

Another question raised by the technology is what legal avenues would be available to those seeking to challenge the misinformation. Under the First Amendment, the government can only regulate false speech under very limited circumstances. One of those is defamation, which seems like the most logical cause of action to apply. But under defamation law, plaintiffs—especially public figures, who are the most likely litigants and who must prove “malice”—may have a difficult time proving the AI acted with the necessary state of mind to sustain a cause of action.

Section 230 Likely Does Not Apply to Information Developed by an LLM

Section 230(c)(1) states:

No provider or user of an interactive computer service shall be treated as the publisher or speaker of any information provided by another information content provider.

The law defines an interactive computer service as “any information service, system, or access software provider that provides or enables computer access by multiple users to a computer server, including specifically a service or system that provides access to the Internet and such systems operated or services offered by libraries or educational institutions.”

The access software provider portion of that definition includes any tool that can “filter, screen, allow, or disallow content; pick, choose, analyze, or digest content; or transmit, receive, display, forward, cache, search, subset, organize, reorganize, or translate content.”

And finally, an information content provider is “any person or entity that is responsible, in whole or in part, for the creation or development of information provided through the Internet or any other interactive computer service.”

Taken together, Section 230(c)(1) gives online platforms (“interactive computer services”) broad immunity for user-generated content (“information provided by another information content provider”). This even covers circumstances where the online platform (acting as an “access software provider”) engages in a great deal of curation of the user-generated content.

Section 230(c)(1) does not, however, protect information created by the interactive computer service itself.

There is case law to help determine whether content is created or developed by the interactive computer service. Online platforms applying “neutral tools” to help organize information have not lost immunity. As the 9th U.S. Circuit Court of Appeals put it in Fair Housing Council v. Roommates.com:

Providing neutral tools for navigating websites is fully protected by CDA immunity, absent substantial affirmative conduct on the part of the website creator promoting the use of such tools for unlawful purposes.

On the other hand, online platforms are liable for content they create or develop, which does not include “augmenting the content generally,” but does include “materially contributing to its alleged unlawfulness.”

The question here is whether the text-based answers provided by LLM apps like Bing’s Sydney or Google’s Bard comprise content created or developed by those online platforms. One could argue that LLMs are neutral tools simply rearranging information from other sources for display. It seems clear, however, that the LLM is synthesizing information to create new content. The use of AI to answer a question, rather than a human agent of Google or Microsoft, doesn’t seem relevant to whether or not it was created or developed by those companies. (Though, as Matt Perault notes, how LLMs are integrated into a product matters. If an LLM just helps “determine which search results to prioritize or which text to highlight from underlying search results,” then it may receive Section 230 protection.)

The technology itself gives text-based answers based on inputs from the questioner. LLMs uses AI-trained engines to guess the next word based on troves of data from the internet. While the information may come from third parties, the creation of the content itself is due to the LLM. As ChatGPT put it in response to my query here:

Proving Defamation by AI

In the absence of Section 230 immunity, there is still the question of how one could hold Google’s Bard or Microsoft’s Sydney accountable for purveying misinformation. There are no laws against false speech in general, nor can there be, since the Supreme Court declared such speech was protected in United States v. Alvarez. There are, however, categories of false speech, like defamation and fraud, which have been found to lie outside of First Amendment protection.

Defamation is the most logical cause of action that could be brought for false information provided by an LLM app. But it is notable that it is highly unlikely that people who have not received significant public recognition will be known by these LLM apps (believe me, I tried to get ChatGPT to tell me something about myself—alas, I’m not famous enough). On top of that, those most likely to have significant damages from their reputations being harmed by falsehoods spread online are those who are in the public eye. This means that, for the purposes of the defamation suit, it is public figures who are most likely to sue.

As an example, if ChatGPT answers the question of whether Johnny Depp is a wife-beater by saying that he is, contrary to one court’s finding (but consistent with another’s), Depp could sue the creators of the service for defamation. He would have to prove that a false statement was publicized to a third party that resulted in damages to him. For the sake of argument, let’s say he can do both. The case still isn’t proven because, as a public figure, he would also have to prove “actual malice.”

Under New York Times v. Sullivan and its progeny, a public figure must prove the defendant acted with “actual malice” when publicizing false information about the plaintiff. Actual malice is defined as “knowledge that [the statement] was false or with reckless disregard of whether it was false or not.”

The question arises whether actual malice can be attributed to a LLM. It seems unlikely that it could be said that the AI’s creators trained it in a way that they “knew” the answers provided would be false. But it may be a more interesting question whether the LLM is giving answers with “reckless disregard” of their truth or falsity. One could argue that these early versions of the technology are exactly that, but the underlying AI is likely to improve over time with feedback. The best time for a plaintiff to sue may be now, when the LLMs are still in their infancy and giving off false answers more often.

It is possible that, given enough context in the query, LLM-empowered apps may be able to recognize private figures, and get things wrong. For instance, when I asked ChatGPT to give a biography of myself, I got no results:

When I added my workplace, I did get a biography, but none of the relevant information was about me. It was instead about my boss, Geoffrey Manne, the president of the International Center for Law & Economics:

While none of this biography is true, it doesn’t harm my reputation, nor does it give rise to damages. But it is at least theoretically possible that an LLM could make a defamatory statement against a private person. In such a case, a lower burden of proof would apply to the plaintiff, that of negligence, i.e., that the defendant published a false statement of fact that a reasonable person would have known was false. This burden would be much easier to meet if the AI had not been sufficiently trained before being released upon the public.

Conclusion

While it is unlikely that a service like ChapGPT would receive Section 230 immunity, it also seems unlikely that a plaintiff would be able to sustain a defamation suit against it for false statements. The most likely type of plaintiff (public figures) would encounter difficulty proving the necessary element of “actual malice.” The best chance for a lawsuit to proceed may be against the early versions of this service—rolled out quickly and to much fanfare, while still being in a beta stage in terms of accuracy—as a colorable argument can be made that they are giving false answers in “reckless disregard” of their truthfulness.

In Constitutional Law, Facebook, First Amendment, Google, Platforms, Supreme Court, Truth on the Market artificial intelligence, defamation, Immunity, intermediary liability, platforms, section 230

Killer Acquisition or Leveling Up: The Use of Mergers to Enter Adjacent Markets

Dirk Auer — 1 February 2023

In the world of video games, the process by which players train themselves or their characters in order to overcome a difficult “boss battle” is called “leveling up.” I find that the phrase also serves as a useful metaphor in the context of corporate mergers. Here, “leveling up” can be thought of as acquiring another firm in order to enter or reinforce one’s presence in an adjacent market where a larger and more successful incumbent is already active.

In video-game terminology, that incumbent would be the “boss.” Acquiring firms choose to level up when they recognize that building internal capacity to compete with the “boss” is too slow, too expensive, or is simply infeasible. An acquisition thus becomes the only way “to beat the boss” (or, at least, to maximize the odds of doing so).

Alas, this behavior is often mischaracterized as a “killer acquisition” or “reverse killer acquisition.” What separates leveling up from killer acquisitions is that the former serve to turn the merged entity into a more powerful competitor, while the latter attempt to weaken competition. In the case of “reverse killer acquisitions,” the assumption is that the acquiring firm would have entered the adjacent market regardless absent the merger, leaving even more firms competing in that market.

In other words, the distinction ultimately boils down to a simple (though hard to answer) question: could both the acquiring and target firms have effectively competed with the “boss” without a merger?

Because they are ubiquitous in the tech sector, these mergers—sometimes also referred to as acquisitions of nascent competitors—have drawn tremendous attention from antitrust authorities and policymakers. All too often, policymakers fail to adequately consider the realistic counterfactual to a merger and mistake leveling up for a killer acquisition. The most recent high-profile example is Meta’s acquisition of the virtual-reality fitness app Within. But in what may be a hopeful sign of a turning of the tide, a federal court appears set to clear that deal over objections from the Federal Trade Commission (FTC).

Some Recent ‘Boss Battles’

The canonical example of leveling up in tech markets is likely Google’s acquisition of Android back in 2005. While Apple had not yet launched the iPhone, it was already clear by 2005 that mobile would become an important way to access the internet (including Google’s search services). Rumors were swirling that Apple, following its tremendously successful iPod, had started developing a phone, and Microsoft had been working on Windows Mobile for a long time.

In short, there was a serious risk that Google would be reliant on a single mobile gatekeeper (i.e., Apple) if it did not move quickly into mobile. Purchasing Android was seen as the best way to do so. (Indeed, averting an analogous sort of threat appears to be driving Meta’s move into virtual reality today.)

The natural next question is whether Google or Android could have succeeded in the mobile market absent the merger. My guess is that the answer is no. In 2005, Google did not produce any consumer hardware. Quickly and successfully making the leap would have been daunting. As for Android:

Google had significant advantages that helped it to make demands from carriers and OEMs that Android would not have been able to make. In other words, Google was uniquely situated to solve the collective action problem stemming from OEMs’ desire to modify Android according to their own idiosyncratic preferences. It used the appeal of its app bundle as leverage to get OEMs and carriers to commit to support Android devices for longer with OS updates. The popularity of its apps meant that OEMs and carriers would have great difficulty in going it alone without them, and so had to engage in some contractual arrangements with Google to sell Android phones that customers wanted. Google was better resourced than Android likely would have been and may have been able to hold out for better terms with a more recognizable and desirable brand name than a hypothetical Google-less Android. In short, though it is of course possible that Android could have succeeded despite the deal having been blocked, it is also plausible that Android became so successful only because of its combination with Google. (citations omitted)

In short, everything suggests that Google’s purchase of Android was a good example of leveling up. Note that much the same could be said about the company’s decision to purchase Fitbit in order to compete against Apple and its Apple Watch (which quickly dominated the market after its launch in 2015).

A more recent example of leveling up is Microsoft’s planned acquisition of Activision Blizzard. In this case, the merger appears to be about improving Microsoft’s competitive position in the platform market for game consoles, rather than in the adjacent market for games.

At the time of writing, Microsoft is staring down the barrel of a gun: Sony is on the cusp of becoming the runaway winner of yet another console generation. Microsoft’s executives appear to have concluded that this is partly due to a lack of exclusive titles on the Xbox platform. Hence, they are seeking to purchase Activision Blizzard, one of the most successful game studios, known among other things for its acclaimed Call of Duty series.

Again, the question is whether Microsoft could challenge Sony by improving its internal game-publishing branch (known as Xbox Game Studios) or whether it needs to acquire a whole new division. This is obviously a hard question to answer, but a cursory glance at the titles shipped by Microsoft’s publishing studio suggest that the issues it faces could not simply be resolved by throwing more money at its existing capacities. Indeed, Microsoft Game Studios seems to be plagued by organizational failings that might only be solved by creating more competition within the Microsoft company. As one gaming journalist summarized:

The current predicament of these titles goes beyond the amount of money invested or the buzzwords used to market them – it’s about Microsoft’s plan to effectively manage its studios. Encouraging independence isn’t an excuse for such a blatantly hands-off approach which allows titles to fester for years in development hell, with some fostering mistreatment to occur. On the surface, it’s just baffling how a company that’s been ranked as one of the top 10 most reputable companies eight times in 11 years (as per RepTrak) could have such problems with its gaming division.

The upshot is that Microsoft appears to have recognized that its own game-development branch is failing, and that acquiring a well-functioning rival is the only way to rapidly compete with Sony. There is thus a strong case to be made that competition authorities and courts should approach the merger with caution, as it has at least the potential to significantly increase competition in the game-console industry.

Finally, leveling up is sometimes a way for smaller firms to try and move faster than incumbents into a burgeoning and promising segment. The best example of this is arguably Meta’s effort to acquire Within, a developer of VR fitness apps. Rather than being an attempt to thwart competition from a competitor in the VR app market, the goal of the merger appears to be to compete with the likes of Google, Apple, and Sony at the platform level. As Mark Zuckerberg wrote back in 2015, when Meta’s VR/AR strategy was still in its infancy:

Our vision is that VR/AR will be the next major computing platform after mobile in about 10 years… The strategic goal is clearest. We are vulnerable on mobile to Google and Apple because they make major mobile platforms. We would like a stronger strategic position in the next wave of computing….

Over the next few years, we’re going to need to make major new investments in apps, platform services, development / graphics and AR. Some of these will be acquisitions and some can be built in house. If we try to build them all in house from scratch, then we risk that several will take too long or fail and put our overall strategy at serious risk. To derisk this, we should acquire some of these pieces from leading companies.

In short, many of the tech mergers that critics portray as killer acquisitions are just as likely to be attempts by firms to compete head-on with incumbents. This “leveling up” is precisely the sort of beneficial outcome that antitrust laws were designed to promote.

Building Products Is Hard

Critics are often quick to apply the “killer acquisition” label to any merger where a large platform is seeking to enter or reinforce its presence in an adjacent market. The preceding paragraphs demonstrate that it’s not that simple, as these mergers often enable firms to improve their competitive position in the adjacent market. For obvious reasons, antitrust authorities and policymakers should be careful not to thwart this competition.

The harder part is how to separate the wheat from the chaff. While I don’t have a definitive answer, an easy first step would be for authorities to more seriously consider the supply side of the equation.

Building a new product is incredibly hard, even for the most successful tech firms. Microsoft famously failed with its Zune music player and Windows Phone. The Google+ social network never gained any traction. Meta’s foray into the cryptocurrency industry was a sobering experience. Amazon’s Fire Phone bombed. Even Apple, which usually epitomizes Silicon Valley firms’ ability to enter new markets, has had its share of dramatic failures: Apple Maps, its Ping social network, and the first Home Pod, to name a few.

To put it differently, policymakers should not assume that internal growth is always a realistic alternative to a merger. Instead, they should carefully examine whether such a strategy is timely, cost-effective, and likely to succeed.

This is obviously a daunting task. Firms will struggle to dispositively show that they need to acquire the target firm in order to effectively compete against an incumbent. The question essentially hinges on the quality of the firm’s existing management, engineers, and capabilities. All of these are difficult—perhaps even impossible—to measure. At the very least, policymakers can improve the odds of reaching a correct decision by approaching these mergers with an open mind.

Under Chair Lina Khan’s tenure, the FTC has opted for the opposite approach and taken a decidedly hostile view of tech acquisitions. The commission sued to block both Meta’s purchase of Within and Microsoft’s acquisition of Activision Blizzard. Likewise, several economists—notably Tommasso Valletti—have called for policymakers to reverse the burden of proof in merger proceedings, and opined that all mergers should be viewed with suspicion because, absent efficiencies, they always reduce competition.

Unfortunately, this skeptical approach is something of a self-fulfilling prophecy: when authorities view mergers with suspicion, they are likely to be dismissive of the benefits discussed above. Mergers will be blocked and entry into adjacent markets will occur via internal growth.

Large tech companies’ many failed attempts to enter adjacent markets via internal growth suggest that such an outcome would ultimately harm the digital economy. Too many “boss battles” will needlessly be lost, depriving consumers of precious competition and destroying startup companies’ exit strategies.

In Antitrust & Competition, Apple, Exclusionary Conduct, Facebook, Federal Trade Commission, Google, Mergers & Acquisitions, Platforms, Truth on the Market Android, Apple, gatekeeper, google, killer acquisition, mergers, Meta, Meta-Within, microsoft

Section 230 & Gonzalez: Algorithmic Recommendations Are Immune

Ben Sperry — 1 February 2023

In our previous post on Gonzalez v. Google LLC, which will come before the U.S. Supreme Court for oral arguments Feb. 21, Kristian Stout and I argued that, while the U.S. Justice Department (DOJ) got the general analysis right (looking to Roommates.com as the framework for exceptions to the general protections of Section 230), they got the application wrong (saying that algorithmic recommendations should be excepted from immunity).

Now, after reading Google’s brief, as well as the briefs of amici on their side, it is even more clear to me that:

algorithmic recommendations are protected by Section 230 immunity; and
creating an exception for such algorithms would severely damage the internet as we know it.

I address these points in reverse order below.

Google on the Death of the Internet Without Algorithms

The central point that Google makes throughout its brief is that a finding that Section 230’s immunity does not extend to the use of algorithmic recommendations would have potentially catastrophic implications for the internet economy. Google and amici for respondents emphasize the ubiquity of recommendation algorithms:

Recommendation algorithms are what make it possible to find the needles in humanity’s largest haystack. The result of these algorithms is unprecedented access to knowledge, from the lifesaving (“how to perform CPR”) to the mundane (“best pizza near me”). Google Search uses algorithms to recommend top search results. YouTube uses algorithms to share everything from cat videos to Heimlich-maneuver tutorials, algebra problem-solving guides, and opera performances. Services from Yelp to Etsy use algorithms to organize millions of user reviews and ratings, fueling global commerce. And individual users “like” and “share” content millions of times every day. – Brief for Respondent Google, LLC at 2.

The “recommendations” they challenge are implicit, based simply on the manner in which YouTube organizes and displays the multitude of third-party content on its site to help users identify content that is of likely interest to them. But it is impossible to operate an online service without “recommending” content in that sense, just as it is impossible to edit an anthology without “recommending” the story that comes first in the volume. Indeed, since the dawn of the internet, virtually every online service—from news, e-commerce, travel, weather, finance, politics, entertainment, cooking, and sports sites, to government, reference, and educational sites, along with search engines—has had to highlight certain content among the thousands or millions of articles, photographs, videos, reviews, or comments it hosts to help users identify what may be most relevant. Given the sheer volume of content on the internet, efforts to organize, rank, and display content in ways that are useful and attractive to users are indispensable. As a result, exposing online services to liability for the “recommendations” inherent in those organizational choices would expose them to liability for third-party content virtually all the time. – Amicus Brief for Meta Platforms at 3-4.

In other words, if Section 230 were limited in the way that the plaintiffs (and the DOJ) seek, internet platforms’ ability to offer users useful information would be strongly attenuated, if not completely impaired. The resulting legal exposure would lead inexorably to far less of the kinds of algorithmic recommendations upon which the modern internet is built.

This is, in part, why we weren’t able to fully endorse the DOJ’s brief in our previous post. The DOJ’s brief simply goes too far. It would be unreasonable to establish as a categorical rule that use of the ubiquitous auto-discovery algorithms that power so much of the internet would strip a platform of Section 230 protection. The general rule advanced by the DOJ’s brief would have detrimental and far-ranging implications.

Amici on Publishing and Section 230(f)(4)

Google and the amici also make a strong case that algorithmic recommendations are inseparable from publishing. They have a strong textual hook in Section 230(f)(4), which explicitly protects “enabling tools that… filter, screen, allow, or disallow content; pick, choose, analyze or disallow content; or transmit, receive, display, forward, cache, search, subset, organize, reorganize, or translate content.”

As the amicus brief from a group of internet-law scholars—including my International Center for Law & Economics colleagues Geoffrey Manne and Gus Hurwitz—put it:

Section 230’s text should decide this case. Section 230(c)(1) immunizes the user or provider of an “interactive computer service” from being “treated as the publisher or speaker” of information “provided by another information content provider.” And, as Section 230(f)’s definitions make clear, Congress understood the term “interactive computer service” to include services that “filter,” “screen,” “pick, choose, analyze,” “display, search, subset, organize,” or “reorganize” third-party content. Automated recommendations perform exactly those functions, and are therefore within the express scope of Section 230’s text. – Amicus Brief of Internet Law Scholars at 3-4.

In other words, Section 230 protects not just the conveyance of information, but how that information is displayed. Algorithmic recommendations are a subset of those display tools that allow users to find what they are looking for with ease. Section 230 can’t be reasonably read to exclude them.

Why This Isn’t Really (Just) a Roommates.com Case

This is where the DOJ’s amicus brief (and our previous analysis) misses the point. This is not strictly a Roomates.com case. The case actually turns on whether algorithmic recommendations are separable from publication of third-party content, rather than whether they are design choices akin to what was occurring in that case.

For instance, in our previous post, we argued that:

[T]he DOJ argument then moves onto thinner ice. The DOJ believes that the 230 liability shield in Gonzalez depends on whether an automated “recommendation” rises to the level of development or creation, as the design of filtering criteria in Roommates.com did.

While we thought the DOJ went too far in differentiating algorithmic recommendations from other uses of algorithms, we gave them too much credit in applying the Roomates.com analysis. Section 230 was meant to immunize filtering tools, so long as the information provided is from third parties. Algorithmic recommendations—like the type at issue with YouTube’s “Up Next” feature—are less like the conduct in Roommates.com and much more like a search engine.

The DOJ did, however, have a point regarding algorithmic tools in that they may—like any other tool a platform might use—be employed in a way that transforms the automated promotion into a direct endorsement or original publication. For instance, it’s possible to use algorithms to intentionally amplify certain kinds of content in such a way as to cultivate more of that content.

That’s, after all, what was at the heart of Roommates.com. The site was designed to elicit responses from users that violated the law. Algorithms can do that, but as we observed previously, and as the many amici in Gonzalez observe, there is nothing inherent to the operation of algorithms that match users with content that makes their use categorically incompatible with Section 230’s protections.

Conclusion

After looking at the textual and policy arguments forwarded by both sides in Gonzalez, it appears that Google and amici for respondents have the better of it. As several amici argued, to the extent there are good reasons to reform Section 230, Congress should take the lead. The Supreme Court shouldn’t take this case as an opportunity to significantly change the consensus of the appellate courts on the broad protections of Section 230 immunity.

In Google, Platforms, Supreme Court, Truth on the Market algorithms, intermediary liability, platforms, roommates.com, section 230, Supreme Court

Brussels Effect or Brussels Defect: Digital Regulation in Emerging Markets

Geoffrey Manne & Dirk Auer — 20 December 2022

The blistering pace at which the European Union put forward and adopted the Digital Markets Act (DMA) has attracted the attention of legislators across the globe. In its wake, countries such as South Africa, India, Brazil, and Turkey have all contemplated digital-market regulations inspired by the DMA (and other models of regulation, such as the United Kingdom’s Digital Markets Unit and Australia’s sectoral codes of conduct).

Racing to be among the first jurisdictions to regulate might intuitively seem like a good idea. By emulating the EU, countries could hope to be perceived as on the cutting edge of competition policy, and hopefully earn a seat at the table when the future direction of such regulations is discussed.

There are, however, tradeoffs involved in regulating digital markets, which are arguably even more salient in the case of emerging markets. Indeed, as we will explain here, these jurisdictions often face challenges that significantly alter the ratio of costs and benefits when it comes to enacting regulation.

Drawing from a paper we wrote with Sam Bowman about competition policy in the Association of Southeast Asian Nations (ASEAN) zone, we highlight below three of the biggest issues these initiatives face.

To Regulate Competition, You First Need to Attract Competition

Perhaps the biggest factor cautioning emerging markets against adoption of DMA-inspired regulations is that such rules would impose heavy compliance costs to doing business in markets that are often anything but mature. It is probably fair to say that, in many (maybe most) emerging markets, the most pressing challenge is to attract investment from international tech firms in the first place, not how to regulate their conduct.

The most salient example comes from South Africa, which has sketched out plans to regulate digital markets. The Competition Commission has announced that Amazon, which is not yet available in the country, would fall under these new rules should it decide to enter—essentially on the presumption that Amazon would overthrow South Africa’s incumbent firms.

It goes without saying that, at the margin, such plans reduce either the likelihood that Amazon will enter the South African market at all, or the extent of its entry should it choose to do so. South African consumers thus risk losing the vast benefits such entry would bring—benefits that dwarf those from whatever marginal increase in competition might be gained from subjecting Amazon to onerous digital-market regulations.

While other tech firms—such as Alphabet, Meta, and Apple—are already active in most emerging jurisdictions, regulation might still have a similar deterrent effect to their further investment. Indeed, the infrastructure deployed by big tech firms in these jurisdictions is nowhere near as extensive as in Western countries. To put it mildly, emerging-market consumers typically only have access to slower versions of these firms’ services. A quick glimpse at Google Cloud’s global content-delivery network illustrates this point well (i.e., that there is far less infrastructure in developing markets):

Ultimately, emerging markets remain relatively underserved compared to those in the West. In such markets, the priority should be to attract tech investment, not to impose regulations that may further slow the deployment of critical internet infrastructure.

Growth Is Key

The potential to boost growth is the most persuasive argument for emerging markets to favor a more restrained approach to competition law and regulation, such as that currently employed in the United States.

Emerging nations may not have the means (or the inclination) to equip digital-market enforcers with resources similar to those of the European Commission. Given these resource constraints, it is essential that such jurisdictions focus their enforcement efforts on those areas that provide the highest return on investment, notably in terms of increased innovation.

This raises an important point. A recent empirical study by Ross Levine, Chen Lin, Lai Wei, and Wensi Xie finds that competition enforcement does, indeed, promote innovation. But among the study’s more surprising findings is that, unlike other areas of competition enforcement, the strength of a jurisdiction’s enforcement of “abuse of dominance” rules does not correlate with increased innovation. Furthermore, jurisdictions that allow for so-called “efficiency defenses” in unilateral-conduct cases also tend to produce more innovation. The authors thus conclude that:

From the perspective of maximizing patent-based innovation, therefore, a legal system that allows firms to exploit their dominant positions based on efficiency considerations could boost innovation.

These findings should give pause to policymakers who seek to emulate the European Union’s DMA—which, among other things, does not allow gatekeepers to put forward so-called “efficiency defenses” that would allow them to demonstrate that their behavior benefits consumers. If growth and innovation are harmed by overinclusive abuse-of-dominance regimes and rules that preclude firms from offering efficiency-based defenses, then this is probably even more true of digital-market regulations that replace case-by-case competition enforcement with per se prohibitions.

In short, the available evidence suggests that, faced with limited enforcement resources, emerging-market jurisdictions should prioritize other areas of competition policy, such as breaking up or mitigating the harmful effects of cartels and exercising appropriate merger controls.

These findings also cut in favor of emphasizing the traditional antitrust goal of maximizing consumer welfare—or, at least, protecting the competitive process. Many of the more recent digital-market regulations—such as the DMA, the UK DMU, and the ACCC sectoral codes of conduct—are instead focused on distributional issues. They seek to ensure that platform users earn a “fair share” of the benefits generated on a platform. In light of Levine et al.’s findings, this approach could be undesirable, as using competition policy to reduce monopoly rents may lead to less innovation.

In short, traditional antitrust law’s focus on consumer welfare and relatively limited enforcement in the area of unilateral conduct may be a good match for emerging nations that want competition regimes that maximize innovation under important resource constraints.

Consider Local Economic and Political Conditions

Emerging jurisdictions have diverse economic and political profiles. These features, in turn, affect the respective costs and benefits of digital-market regulations.

For example, digital-market regulations generally offer very broad discretion to competition enforcers. The DMA details dozens of open-ended prohibitions upon which enforcers can base infringement proceedings. Furthermore, because they are designed to make enforcers’ task easier, these regulations often remove protections traditionally afforded to defendants, such as appeals to the consumer welfare standard or efficiency defenses. The UK’s DMU initiative, for example, would lower the standard of proof that enforcers must meet.

Giving authorities broad powers with limited judicial oversight might be less problematic in jurisdictions where the state has a track record of self-restraint. The consequences of regulatory discretion might, however, be far more problematic in jurisdictions where authorities routinely overstep the mark and where the threat of corruption is very real.

To name but two, countries like South Africa and India rank relatively low in the World Bank’s “ease of doing business index” (84th and 62nd, respectively). They also rank relatively low on the Cato Institute’s “human freedom index” (77th and 119th, respectively—and both score particularly badly in terms of economic freedom). This suggests strongly that authorities in those jurisdictions are prone to misapply powers derived from digital-market regulations in ways that hurt growth and consumers.

To make matters worse, outright corruption is also a real problem in several emerging nations. Returning to South Africa and India, both jurisdictions face significant corruption issues (they rank 70th and 85th, respectively, on Transparency International’s “Corruption Perception Index”).

At a more granular level, an inquiry in South Africa revealed rampant corruption under former President Jacob Zuma, while current President Cyril Ramaphosa also faces significant corruption allegations. Writing in the Financial Times in 2018, Gaurav Dalmia—chair of Delhi-based Dalmia Group Holdings—opined that “India’s anti-corruption battle will take decades to win.”

This specter of corruption thus counsels in favor of establishing competition regimes with sufficient checks and balances, so as to prevent competition authorities from being captured by industry or political forces. But most digital-market regulations are designed precisely to remove those protections in order to streamline enforcement. The risk that they could be mobilized toward nefarious ends are thus anything but trivial. This is of particular concern, given that such regulations are typically mobilized against global firms in order to shield inefficient local firms—raising serious risks of protectionist enforcement that would harm local consumers.

Conclusion

The bottom line is that emerging markets would do well to reconsider the value of regulating digital markets that have yet to reach full maturity. Recent proposals threaten to deter tech investments in these jurisdictions, while raising significant risks of reduced growth, corruption, and consumer-harming protectionism.

AG Paxton’s Google Suit Makes the Perfect the Enemy of the Good

Eric Fruits & Geoffrey Manne — 14 December 2022

Having just comfortably secured re-election to a third term, embattled Texas Attorney General Ken Paxton is likely to want to change the subject from investigations of his own conduct to a topic where he feels on much firmer ground: the 16-state lawsuit he currently leads accusing Google of monopolizing a segment of the digital advertising business.

The segment in question concerns the systems used to buy and sell display ads shown on third-party websites, such as The New York Times or Runner’s World. Paxton’s suit, originally filed in December 2020, alleges that digital advertising is dominated by a few large firms and that this stifles competition and generates enormous profits for companies like Google at the expense of advertisers, publishers, and consumers.

On the surface, the digital advertising business appears straightforward: Publishers sell space on their sites and advertisers buy that space to display ads. In this simple view, advertisers seek to minimize how much they pay for ads and publishers seek to maximize their revenues from selling ads.

The reality is much more complex. Rather than paying for how many “eyeballs” see an ad, digital advertisers generally pay only for the ads that consumers click on. Moreover, many digital advertising transactions move through a “stack” of intermediary services to link buyers and sellers, including “exchanges” that run real-time auctions matching bids from advertisers and publishers.

Because revenues are generated only when an ad is clicked on, advertisers, publishers, and exchange operators have an incentive to maximize the likelihood that a consumer will click. A cheap ad is worthless if the viewer doesn’t act on it and an expensive ad may be worthwhile if it elicits a click. The role of a company running the exchange, such as Google, is to balance the interests of advertisers buying the ads, publishers displaying the ads, and consumers viewing the ads. In some cases, pricing on one side of the trade will subsidize participation on another side, increasing the value to all sides combined.

At the heart of Paxton’s lawsuit is the belief that the exchanges run by Google and other large digital advertising firms simultaneously overcharge advertisers, underpay publishers, and pocket the difference. Google’s critics allege the company leverages its ownership of Search, YouTube, and other services to coerce advertisers to use Google’s ad-buying tools and Google’s exchange, thus keeping competing firms away from these advertisers. It’s also claimed that, through its Search, YouTube, and Maps services, Google has superior information about consumers that it won’t share with publishers or competing digital advertising companies.

These claims are based on the premise that “big is bad,” and that dominant firms have a duty to ensure that their business practices do not create obstacles for their competitors. Under this view, Google would be deemed anticompetitive if there is a hypothetical approach that would accomplish the same goals while fostering even more competition or propping up rivals.

But U.S. antitrust law is supposed to foster innovation that creates benefits for consumers. The law does not forbid conduct that benefits consumers on grounds that it might also inconvenience competitors, or that there is some other arrangement that could be “even more” competitive. Any such conduct would first have to be shown to be anticompetitive—that is, to harm consumers or competition, not merely certain competitors.

That means Paxton has to show not just that some firms on one side of the market are harmed, but that the combined effect across all sides of the market is harmful. In this case, his suit really only discusses the potential harms to publishers (who would like to be paid more), while advertisers and consumers have clearly benefited from the huge markets and declining advertising prices Google has helped to create.

While we can’t be sure how the Texas case will develop once its allegations are fleshed out into full arguments and rebutted in court, many of its claims and assumptions appear wrongheaded. If the court rules in favor of these claims, the result will be to condemn conduct that promotes competition and potentially to impose costly, inefficient remedies that function as a drag on innovation.

Paxton and his fellow attorneys general should not fall for the fallacy that their vision of a hypothetical ideal market can replace a well-functioning real market. This would pervert businesses’ incentives to innovate and compete, and would make an unobtainable perfect that exists only in the minds of some economists and lawyers the enemy of a “good” that exists in the real world.

[For in-depth analysis of the multi-state suit against Google, see our recent ICLE white paper “The Antitrust Assault on Ad Tech.”]

In Antitrust & Competition, Google, Monopolization, Platforms, Truth on the Market adtech, Advertising, google, intermediaries, Publishing, state antitrust enforcement, Texas, two-sided markets

Imposed Final Offer Arbitration: Price Regulation by Any Other Name

Brian Albrecht — 7 December 2022

“Just when I thought I was out, they pull me back in!” says Al Pacino’s character, Michael Corleone, in Godfather III. That’s how Facebook and Google must feel about S. 673, the Journalism Competition and Preservation Act (JCPA).

Gus Hurwitz called the bill dead in September. Then it passed the Senate Judiciary Committee. Now, there are some reports that suggest it could be added to the obviously unrelated National Defense Authorization Act (it should be noted that the JCPA was not included in the version of NDAA introduced in the U.S. House).

For an overview of the bill and its flaws, see Dirk Auer and Ben Sperry’s tl;dr. The JCPA would force “covered” online platforms like Facebook and Google to pay for journalism accessed through those platforms. When a user posts a news article on Facebook, which then drives traffic to the news source, Facebook would have to pay. I won’t get paid for links to my banger cat videos, no matter how popular they are, since I’m not a qualifying publication.

I’m going to focus on one aspect of the bill: the use of “final offer arbitration” (FOA) to settle disputes between platforms and news outlets. FOA is sometimes called “baseball arbitration” because it is used for contract disputes in Major League Baseball. This form of arbitration has also been implemented in other jurisdictions to govern similar disputes, notably by the Australian ACCC.

Before getting to the more complicated case, let’s start simple.

Scenario #1: I’m a corn farmer. You’re a granary who buys corn. We’re both invested in this industry, so let’s assume we can’t abandon negotiations in the near term and need to find an agreeable price. In a market, people make offers. Prices vary each year. I decide when to sell my corn based on prevailing market prices and my beliefs about when they will change.

Scenario #2: A government agency comes in (without either of us asking for it) and says the price of corn this year is $6 per bushel. In conventional economics, we call that a price regulation. Unlike a market price, where both sides sign off, regulated prices do not enjoy mutual agreement by the parties to the transaction.

Scenario #3: Instead of a price imposed independently by regulation, one of the parties (say, the corn farmer) may seek a higher price of $6.50 per bushel and petition the government. The government agrees and the price is set at $6.50. We would still call that price regulation, but the outcome reflects what at least one of the parties wanted and some may argue that it helps “the little guy.” (Let’s forget that many modern farms are large operations with bargaining power. In our head and in this story, the corn farmer is still a struggling mom-and-pop about to lose their house.)

Scenario #4: Instead of listening only to the corn farmer, both the farmer and the granary tell the government their “final offer” and the government picks one of those offers, not somewhere in between. The parties don’t give any reasons—just the offer. This is called “final offer arbitration” (FOA).

As an arbitration mechanism, FOA makes sense, even if it is not always ideal. It avoids some of the issues that can attend “splitting the difference” between the parties.

While it is better than other systems, it is still a price regulation. In the JCPA’s case, it would not be imposed immediately; the two parties can negotiate on their own (in the shadow of the imposed FOA). And the actual arbitration decision wouldn’t technically be made by the government, but by a third party. Fine. But ultimately, after stripping away the veneer, this is all just an elaborate mechanism built atop the threat of the government choosing the price in the market.

I call that price regulation. The losing party does not like the agreement and never agreed to the overall mechanism. Unlike in voluntary markets, at least one of the parties does not agree with the final price. Moreover, neither party explicitly chose the arbitration mechanism.

The JCPA’s FOA system is not precisely like the baseball situation. In baseball, there is choice on the front-end. Players and owners agree to the system. In baseball, there is also choice after negotiations start. Players can still strike; owners can enact a lockout. Under the JCPA, the platforms must carry the content. They cannot walk away.

I’m an economist, not a philosopher. The problem with force is not that it is unpleasant. Instead, the issue is that force distorts the knowledge conveyed through market transactions. That distortion prevents resources from moving to their highest valued use.

How do we know the apple is more valuable to Armen than it is to Ben? In a market, “we” don’t need to know. No benevolent outsider needs to pick the “right” price for other people. In most free markets, a seller posts a price. Buyers just need to decide whether they value it more than that price. Armen voluntarily pays Ben for the apple and Ben accepts the transaction. That’s how we know the apple is in the right hands.

Often, transactions are about more than just price. Sometimes there may be haggling and bargaining, especially on bigger purchases. Workers negotiate wages, even when the ad stipulates a specific wage. Home buyers make offers and negotiate.

But this just kicks up the issue of information to one more level. Negotiating is costly. That is why sometimes, in anticipation of costly disputes down the road, the two sides voluntarily agree to use an arbitration mechanism. MLB players agree to baseball arbitration. That is the two sides revealing that they believe the costs of disputes outweigh the losses from arbitration.

Again, each side conveys their beliefs and values by agreeing to the arbitration mechanism. Each step in the negotiation process allows the parties to convey the relevant information. No outsider needs to know “the right” answer.For a choice to convey information about relative values, it needs to be freely chosen.

At an abstract level, any trade has two parts. First, people agree to the mechanism, which determines who makes what kinds of offers. At the grocery store, the mechanism is “seller picks the price and buyer picks the quantity.” For buying and selling a house, the mechanism is “seller posts price, buyer can offer above or below and request other conditions.” After both parties agree to the terms, the mechanism plays out and both sides make or accept offers within the mechanism.

We need choice on both aspects for the price to capture each side’s private information.

For example, suppose someone comes up to you with a gun and says “give me your wallet or your watch. Your choice.” When you “choose” your watch, we don’t actually call that a choice, since you didn’t pick the mechanism. We have no way of knowing whether the watch means more to you or to the guy with the gun.

When the JCPA forces Facebook to negotiate with a local news website and Facebook offers to pay a penny per visit, it conveys no information about the relative value that the news website is generating for Facebook. Facebook may just be worried that the website will ask for two pennies and the arbitrator will pick the higher price. It is equally plausible that in a world without transaction costs, the news would pay Facebook, since Facebook sends traffic to them. Is there any chance the arbitrator will pick Facebook’s offer if it asks to be paid? Of course not, so Facebook will never make that offer.

For sure, things are imposed on us all the time. That is the nature of regulation. Energy prices are regulated. I’m not against regulation. But we should defend that use of force on its own terms and be honest that the system is one of price regulation. We gain nothing by a verbal sleight of hand that turns losing your watch into a “choice” and the JCPA’s FOA into a “negotiation” between platforms and news.

In economics, we often ask about market failures. In this case, is there a sufficient market failure in the market for links to justify regulation? Is that failure resolved by this imposition?

In Antitrust & Competition, Economic Theory, Facebook, Google, Intellectual Property, Platforms, Regulation, Truth on the Market arbitration, facebook, google, JCPA, Journalism, price controls, social media

Biden’s Data Flows Order: Does It Comport with EU Law?

Mikolaj Barczentewicz — 30 November 2022

European Union officials insist that the executive order President Joe Biden signed Oct. 7 to implement a new U.S.-EU data-privacy framework must address European concerns about U.S. agencies’ surveillance practices. Awaited since March, when U.S. and EU officials reached an agreement in principle on a new framework, the order is intended to replace an earlier data-privacy framework that was invalidated in 2020 by the Court of Justice of the European Union (CJEU) in its Schrems II judgment.

This post is the first in what will be a series of entries examining whether the new framework satisfies the requirements of EU law or, as some critics argue, whether it does not. The critics include Max Schrems’ organization NOYB (for “none of your business”), which has announced that it “will likely bring another challenge before the CJEU” if the European Commission officially decides that the new U.S. framework is “adequate.” In this introduction, I will highlight the areas of contention based on NOYB’s “first reaction.”

The overarching legal question that the European Commission (and likely also the CJEU) will need to answer, as spelled out in the Schrems II judgment, is whether the United States “ensures an adequate level of protection for personal data essentially equivalent to that guaranteed in the European Union by the GDPR, read in the light of Articles 7 and 8 of the [EU Charter of Fundamental Rights]” Importantly, as Theodore Christakis, Kenneth Propp, and Peter Swire point out, “adequate level” and “essential equivalence” of protection do not necessarily mean identical protection, either substantively or procedurally. The precise degree of flexibility remains an open question, however, and one that the EU Court may need to clarify to a much greater extent.

Proportionality and Bulk Data Collection

Under Article 52(1) of the EU Charter of Fundamental Rights, restrictions of the right to privacy must meet several conditions. They must be “provided for by law” and “respect the essence” of the right. Moreover, “subject to the principle of proportionality, limitations may be made only if they are necessary” and meet one of the objectives recognized by EU law or “the need to protect the rights and freedoms of others.”

As NOYB has acknowledged, the new executive order supplemented the phrasing “as tailored as possible” present in 2014’s Presidential Policy Directive on Signals Intelligence Activities (PPD-28) with language explicitly drawn from EU law: mentions of the “necessity” and “proportionality” of signals-intelligence activities related to “validated intelligence priorities.” But NOYB counters:

However, despite changing these words, there is no indication that US mass surveillance will change in practice. So-called “bulk surveillance” will continue under the new Executive Order (see Section 2 (c)(ii)) and any data sent to US providers will still end up in programs like PRISM or Upstream, despite of the CJEU declaring US surveillance laws and practices as not “proportionate” (under the European understanding of the word) twice.

It is true that the Schrems II Court held that U.S. law and practices do not “[correlate] to the minimum safeguards resulting, under EU law, from the principle of proportionality.” But it is crucial to note the specific reasons the Court gave for that conclusion. Contrary to what NOYB suggests, the Court did not simply state that bulk collection of data is inherently disproportionate. Instead, the reasons it gave were that “PPD-28 does not grant data subjects actionable rights before the courts against the US authorities” and that, under Executive Order 12333, “access to data in transit to the United States [is possible] without that access being subject to any judicial review.”

CJEU case law does not support the idea that bulk collection of data is inherently disproportionate under EU law; bulk collection may be proportionate, taking into account the procedural safeguards and the magnitude of interests protected in a given case. (For another discussion of safeguards, see the CJEU’s decision in La Quadrature du Net.) Further complicating the legal analysis here is that, as mentioned, it is far from obvious that EU law requires foreign countries offer the same procedural or substantive safeguards that are applicable within the EU.

Effective Redress

The Court’s Schrems II conclusion therefore primarily concerns the effective redress available to EU citizens against potential restrictions of their right to privacy from U.S. intelligence activities. The new two-step system proposed by the Biden executive order includes creation of a Data Protection Review Court (DPRC), which would be an independent review body with power to make binding decisions on U.S. intelligence agencies. In a comment pre-dating the executive order, Max Schrems argued that:

It is hard to see how this new body would fulfill the formal requirements of a court or tribunal under Article 47 CFR, especially when compared to ongoing cases and standards applied within the EU (for example in Poland and Hungary).

This comment raises two distinct issues. First, Schrems seems to suggest that an adequacy decision can only be granted if the available redress mechanism satisfies the requirements of Article 47 of the Charter. But this is a hasty conclusion. The CJEU’s phrasing in Schrems II is more cautious:

…Article 47 of the Charter, which also contributes to the required level of protection in the European Union, compliance with which must be determined by the Commission before it adopts an adequacy decision pursuant to Article 45(1) of the GDPR

In arguing that Article 47 “also contributes to the required level of protection,” the Court is not saying that it determines the required level of protection. This is potentially significant, given that the standard of adequacy is “essential equivalence,” not that it be procedurally and substantively identical. Moreover, the Court did not say that the Commission must determine compliance with Article 47 itself, but with the “required level of protection” (which, again, must be “essentially equivalent”).

Second, there is the related but distinct question of whether the redress mechanism is effective under the applicable standard of “required level of protection.” Christakis, Propp, and Swire offered a helpful analysis suggesting that it is, considering the proposed DPRC’s independence, effective investigative powers, and authority to issue binding determinations. I will offer a more detailed analysis of this point in future posts.

Finally, NOYB raised a concern that “judgment by ‘Court’ [is] already spelled out in Executive Order.” This concern seems to be based on the view that a decision of the DPRC (“the judgment”) and what the DPRC communicates to the complainant are the same thing. Or in other words, that legal effects of a DPRC decision are exhausted by providing the individual with the neither-confirm-nor-deny statement set out in Section 3 of the executive order. This is clearly incorrect: the DPRC has power to issue binding directions to intelligence agencies. The actual binding determinations of the DPRC are not predetermined by the executive order, only the information to be provided to the complainant is.

What may call for closer consideration are issues of access to information and data. For example, in La Quadrature du Net, the CJEU looked at the difficult problem of notification of persons whose data has been subject to state surveillance, requiring individual notification “only to the extent that and as soon as it is no longer liable to jeopardise” the law-enforcement tasks in question. Given the “essential equivalence” standard applicable to third-country adequacy assessments, however, it does not automatically follow that individual notification is required in that context.

Moreover, it also does not necessarily follow that adequacy requires that EU citizens have a right to access the data processed by foreign government agencies. The fact that there are significant restrictions on rights to information and to access in some EU member states, though not definitive (after all, those countries may be violating EU law), may be instructive for the purposes of assessing the adequacy of data protection in a third country, where EU law requires only “essential equivalence.”

Conclusion

There are difficult questions of EU law that the European Commission will need to address in the process of deciding whether to issue a new adequacy decision for the United States. It is also clear that an affirmative decision from the Commission will be challenged before the CJEU, although the arguments for such a challenge are not yet well-developed. In future posts I will provide more detailed analysis of the pivotal legal questions. My focus will be to engage with the forthcoming legal analyses from Schrems and NOYB and from other careful observers.

In Administrative Law, Data Privacy & Security, European Union, Facebook, Google, International, Truth on the Market European Commission, European Court of Justice, European Union, executive order, GDPR, Joe Biden, privacy

7 Big Questions About the Open App Markets Act

Lazar Radic — 1 November 2022

With just a week to go until the U.S. midterm elections, which potentially herald a change in control of one or both houses of Congress, speculation is mounting that congressional Democrats may seek to use the lame-duck session following the election to move one or more pieces of legislation targeting the so-called “Big Tech” companies.

Gaining particular notice—on grounds that it is the least controversial of the measures—is S. 2710, the Open App Markets Act (OAMA). Introduced by Sen. Richard Blumenthal (D-Conn.), the Senate bill has garnered 14 cosponsors: exactly seven Republicans and seven Democrats. It would, among other things, force certain mobile app stores and operating systems to allow “sideloading” and open their platforms to rival in-app payment systems.

Unfortunately, even this relatively restrained legislation—at least, when compared to Sen. Amy Klobuchar’s (D-Minn.) American Innovation and Choice Online Act or the European Union’s Digital Markets Act (DMA)—is highly problematic in its own right. Here, I will offer seven major questions the legislation leaves unresolved.

1. Are Quantitative Thresholds a Good Indicator of ‘Gatekeeper Power’?

It is no secret that OAMA has been tailor-made to regulate two specific app stores: Android’s Google Play Store and Apple’s Apple App Store (see here, here, and, yes, even Wikipedia knows it).The text makes this clear by limiting the bill’s scope to app stores with more than 50 million users, a threshold that only Google Play and the Apple App Store currently satisfy.

However, purely quantitative thresholds are a poor indicator of a company’s potential “gatekeeper power.” An app store might have much fewer than 50 million users but cater to a relevant niche market. By the bill’s own logic, why shouldn’t that app store likewise be compelled to be open to competing app distributors? Conversely, it may be easy for users of very large app stores to multi-home or switch seamlessly to competing stores. In either case, raw user data paints a distorted picture of the market’s realities.

As it stands, the bill’s thresholds appear arbitrary and pre-committed to “disciplining” just two companies: Google and Apple. In principle, good laws should be abstract and general and not intentionally crafted to apply only to a few select actors. In OAMA’s case, the law’s specific thresholds are also factually misguided, as purely quantitative criteria are not a good proxy for the sort of market power the bill purportedly seeks to curtail.

2. Why Does the Bill not Apply to all App Stores?

Rather than applying to app stores across the board, OAMA targets only those associated with mobile devices and “general purpose computing devices.” It’s not clear why.

For example, why doesn’t it cover app stores on gaming platforms, such as Microsoft’s Xbox or Sony’s PlayStation?

Currently, a PlayStation user can only buy digital games through the PlayStation Store, where Sony reportedly takes a 30% cut of all sales—although its pricing schedule is less transparent than that of mobile rivals such as Apple or Google.

Clearly, this bothers some developers. Much like Epic Games CEO Tim Sweeney’s ongoing crusade against the Apple App Store, indie-game publisher Iain Garner of Neon Doctrine recently took to Twitter to complain about Sony’s restrictive practices. According to Garner, “Platform X” (clearly PlayStation) charges developers up to $25,000 and 30% of subsequent earnings to give games a modicum of visibility on the platform, in addition to requiring them to jump through such hoops as making a PlayStation-specific trailer and writing a blog post. Garner further alleges that Sony severely circumscribes developers’ ability to offer discounts, “meaning that Platform X owners will always get the worst deal!” (see also here).

Microsoft’s Xbox Game Store similarly takes a 30% cut of sales. Presumably, Microsoft and Sony both have the same type of gatekeeper power in the gaming-console market that Apple and Google are said to have on their respective platforms, leading to precisely those issues that OAMA ostensibly purports to combat. Namely, that consumers are not allowed to choose alternative app stores through which to buy games on their respective consoles, and developers must acquiesce to Sony’s and Microsoft’s terms if they want their games to reach those players.

More broadly, dozens of online platforms also charge commissions on the sales made by their creators. To cite but a few: OnlyFans takes a 20% cut of sales; Facebook gets 30% of the revenue that creators earn from their followers; YouTube takes 45% of ad revenue generated by users; and Twitch reportedly rakes in 50% of subscription fees.

This is not to say that all these services are monopolies that should be regulated. To the contrary, it seems like fees in the 20-30% range are common even in highly competitive environments. Rather, it is merely to observe that there are dozens of online platforms that demand a percentage of the revenue that creators generate and that prevent those creators from bypassing the platform. As well they should, after all, because creating and improving a platform is not free.

It is nonetheless difficult to see why legislation regulating online marketplaces should focus solely on two mobile app stores. Ultimately, the inability of OAMA’s sponsors to properly account for this carveout diminishes the law’s credibility.

3. Should Picking Among Legitimate Business Models Be up to Lawmakers or Consumers?

“Open” and “closed” platforms posit two different business models, each with its own advantages and disadvantages. Some consumers may prefer more open platforms because they grant them more flexibility to customize their mobile devices and operating systems. But there are also compelling reasons to prefer closed systems. As Sam Bowman observed, narrowing choice through a more curated system frees users from having to research every possible option every time they buy or use some product. Instead, they can defer to the platform’s expertise in determining whether an app or app store is trustworthy or whether it contains, say, objectionable content.

Currently, users can choose to opt for Apple’s semi-closed “walled garden” iOS or Google’s relatively more open Android OS (which OAMA wants to pry open even further). Ironically, under the pretext of giving users more “choice,” OAMA would take away the possibility of choice where it matters the most—i.e., at the platform level. As Mikolaj Barczentewicz has written:

A sideloading mandate aims to give users more choice. It can only achieve this, however, by taking away the option of choosing a device with a “walled garden” approach to privacy and security (such as is taken by Apple with iOS).

This obviates the nuances between the two and pushes Android and iOS to converge around a single model. But if consumers unequivocally preferred open platforms, Apple would have no customers, because everyone would already be on Android.

Contrary to regulators’ simplistic assumptions, “open” and “closed” are not synonyms for “good” and “bad.” Instead, as Boston University’s Andrei Hagiu has shown, there are fundamental welfare tradeoffs at play between these two perfectly valid business models that belie simplistic characterizations of one being inherently superior to the other.

It is debatable whether courts, regulators, or legislators are well-situated to resolve these complex tradeoffs by substituting businesses’ product-design decisions and consumers’ revealed preferences with their own. After all, if regulators had such perfect information, we wouldn’t need markets or competition in the first place.

4. Does OAMA Account for the Security Risks of Sideloading?

Platforms retaining some control over the apps or app stores allowed on their operating systems bolsters security, as it allows companies to weed out bad players.

Both Apple and Google do this, albeit to varying degrees. For instance, Android already allows sideloading and third-party in-app payment systems to some extent, while Apple runs a tighter ship. However, studies have shown that it is precisely the iOS “walled garden” model which gives it an edge over Android in terms of privacy and security. Even vocal Apple critic Tim Sweeney recently acknowledged that increased safety and privacy were competitive advantages for Apple.

The problem is that far-reaching sideloading mandates—such as the ones contemplated under OAMA—are fundamentally at odds with current privacy and security capabilities (see here and here).

OAMA’s defenders might argue that the law does allow covered platforms to raise safety and security defenses, thus making the tradeoffs between openness and security unnecessary. But the bill places such stringent conditions on those defenses that platform operators will almost certainly be deterred from risking running afoul of the law’s terms. To invoke the safety and security defenses, covered companies must demonstrate that provisions are applied on a “demonstrably consistent basis”; are “narrowly tailored and could not be achieved through less discriminatory means”; and are not used as a “pretext to exclude or impose unnecessary or discriminatory terms.”

Implementing these stringent requirements will drag enforcers into a micromanagement quagmire. There are thousands of potential spyware, malware, rootkit, backdoor, and phishing (to name just a few) software-security issues—all of which pose distinct threats to an operating system. The Federal Trade Commission (FTC) and the federal courts will almost certainly struggle to control the “consistency” requirement across such varied types.

Likewise, OAMA’s reference to “least discriminatory means” suggests there is only one valid answer to any given security-access tradeoff. Further, depending on one’s preferred balance between security and “openness,” a claimed security risk may or may not be “pretextual,” and thus may or may not be legal.

Finally, the bill text appears to preclude the possibility of denying access to a third-party app or app store for reasons other than safety and privacy. This would undermine Apple’s and Google’s two-tiered quality-control systems, which also control for “objectionable” content such as (child) pornography and social engineering.

5. How Will OAMA Safeguard the Rights of Covered Platforms?

OAMA is also deeply flawed from a procedural standpoint. Most importantly, there is no meaningful way to contest the law’s designation as “covered company,” or the harms associated with it.

Once a company is “covered,” it is presumed to hold gatekeeper power, with all the associated risks for competition, innovation, and consumer choice. Remarkably, this presumption does not admit any qualitative or quantitative evidence to the contrary. The only thing a covered company can do to rebut the designation is to demonstrate that it, in fact, has fewer than 50 million users.

By preventing companies from showing that they do not hold the kind of gatekeeper power that harms competition, decreases innovation, raises prices, and reduces choice (the bill’s stated objectives), OAMA severely tilts the playing field in the FTC’s favor. Even the EU’s enforcer-friendly DMA incorporated a last-minute amendment allowing firms to dispute their status as “gatekeepers.” While this defense is not perfect (companies cannot rely on the same qualitative evidence that the European Commission can use against them), at least gatekeeper status can be contested under the DMA.

6. Should Legislation Protect Competitors at the Expense of Consumers?

Like most of the new wave of regulatory initiatives against Big Tech (but unlike antitrust law), OAMA is explicitly designed to help competitors, with consumers footing the bill.

For example, OAMA prohibits covered companies from using or combining nonpublic data obtained from third-party apps or app stores operating on their platforms in competition with those third parties. While this may have the short-term effect of redistributing rents away from these platforms and toward competitors, it risks harming consumers and third-party developers in the long run.

Platforms’ ability to integrate such data is part of what allows them to bring better and improved products and services to consumers in the first place. OAMA tacitly admits this by recognizing that the use of nonpublic data grants covered companies a competitive advantage. In other words, it allows them to deliver a product that is better than competitors’.

Prohibiting self-preferencing raises similar concerns. Why wouldn’t a company that has invested billions in developing a successful platform and ecosystem not give preference to its own products to recoup some of that investment? After all, the possibility of exercising some control over downstream and adjacent products is what might have driven the platform’s development in the first place. In other words, self-preferencing may be a symptom of competition, and not the absence thereof. Third-party companies also would have weaker incentives to develop their own platforms if they can free-ride on the investments of others. And platforms that favor their own downstream products might simply be better positioned to guarantee their quality and reliability (see here and here).

In all of these cases, OAMA’s myopic focus on improving the lot of competitors for easy political points will upend the mobile ecosystems from which both users and developers derive significant benefit.

7. Shouldn’t the EU Bear the Risks of Bad Tech Regulation?

Finally, U.S. lawmakers should ask themselves whether the European Union, which has no tech leaders of its own, is really a model to emulate. Today, after all, marks the day the long-awaited Digital Markets Act— the EU’s response to perceived contestability and fairness problems in the digital economy—officially takes effect. In anticipation of the law entering into force, I summarized some of the outstanding issues that will define implementation moving forward in this recent tweet thread.

We have been critical of the DMA here at Truth on the Market on several factual, legal, economic, and procedural grounds. The law’s problems range from it essentially being a tool to redistribute rents away from platforms and to third-parties, despite it being unclear why the latter group is inherently more deserving (Pablo Ibañez Colomo has raised a similar point); to its opacity and lack of clarity, a process that appears tilted in the Commission’s favor; to the awkward way it interacts with EU competition law, ignoring the welfare tradeoffs between the models it seeks to impose and perfectly valid alternatives (see here and here); to its flawed assumptions (see, e.g., here on contestability under the DMA); to the dubious legal and economic value of the theory of harm known as “self-preferencing”; to the very real possibility of unintended consequences (e.g., in relation to security and interoperability mandates).

In other words, that the United States lags the EU in seeking to regulate this area might not be a bad thing, after all. Despite the EU’s insistence on being a trailblazing agenda-setter at all costs, the wiser thing in tech regulation might be to remain at a safe distance. This is particularly true when one considers the potentially large costs of legislative missteps and the difficulty of recalibrating once a course has been set.

U.S. lawmakers should take advantage of this dynamic and learn from some of the Old Continent’s mistakes. If they play their cards right and take the time to read the writing on the wall, they might just succeed in averting antitrust’s uncertain future.

The Case Against Self-Preferencing as a New Antitrust Offense

Giuseppe Colangelo — 22 September 2022

The practice of so-called “self-preferencing” has come to embody the zeitgeist of competition policy for digital markets, as legislative initiatives are undertaken in jurisdictions around the world that to seek, in various ways, to constrain large digital platforms from granting favorable treatment to their own goods and services. The core concern cited by policymakers is that gatekeepers may abuse their dual role—as both an intermediary and a trader operating on the platform—to pursue a strategy of biased intermediation that entrenches their power in core markets (defensive leveraging) and extends it to associated markets (offensive leveraging).

In addition to active interventions by lawmakers, self-preferencing has also emerged as a new theory of harm before European courts and antitrust authorities. Should antitrust enforcers be allowed to pursue such a theory, they would gain significant leeway to bypass the legal standards and evidentiary burdens traditionally required to prove that a given business practice is anticompetitive. This should be of particular concern, given the broad range of practices and types of exclusionary behavior that could be characterized as self-preferencing—only some of which may, in some specific contexts, include exploitative or anticompetitive elements.

In a new working paper for the International Center for Law & Economics (ICLE), I provide an overview of the relevant traditional antitrust theories of harm, as well as the emerging case law, to analyze whether and to what extent self-preferencing should be considered a new standalone offense under EU competition law. The experience to date in European case law suggests that courts have been able to address platforms’ self-preferencing practices under existing theories of harm, and that it may not be sufficiently novel to constitute a standalone theory of harm.

European Case Law on Self-Preferencing

Practices by digital platforms that might be deemed self-preferencing first garnered significant attention from European competition enforcers with the European Commission’s Google Shopping investigation, which examined whether the search engine’s results pages positioned and displayed its own comparison-shopping service more favorably than the websites of rival comparison-shopping services. According to the Commission’s findings, Google’s conduct fell outside the scope of competition on the merits and could have the effect of extending Google’s dominant position in the national markets for general Internet search into adjacent national markets for comparison-shopping services, in addition to protecting Google’s dominance in its core search market.

Rather than explicitly posit that self-preferencing (a term the Commission did not use) constituted a new theory of harm, the Google Shopping ruling described the conduct as belonging to the well-known category of “leveraging.” The Commission therefore did not need to propagate a new legal test, as it held that the conduct fell under a well-established form of abuse. The case did, however, spur debate over whether the legal tests the Commission did apply effectively imposed on Google a principle of equal treatment of rival comparison-shopping services.

But it should be noted that conduct similar to that alleged in the Google Shopping investigation actually came before the High Court of England and Wales several months earlier, this time in a dispute between Google and Streetmap. At issue in that case was favorable search results Google granted to its own maps, rather than to competing online maps. The UK Court held, however, that the complaint should have been appropriately characterized as an allegation of discrimination; it further found that Google’s conduct did not constitute anticompetitive foreclosure. A similar result was reached in May 2020 by the Amsterdam Court of Appeal in the Funda case.

Conversely, in June 2021, the French Competition Authority (AdlC) followed the European Commission into investigating Google’s practices in the digital-advertising sector. Like the Commission, the AdlC did not explicitly refer to self-preferencing, instead describing the conduct as “favoring.”

Given this background and the proliferation of approaches taken by courts and enforcers to address similar conduct, there was significant anticipation for the judgment that the European General Court would ultimately render in the appeal of the Google Shopping ruling. While the General Court upheld the Commission’s decision, it framed self-preferencing as a discriminatory abuse. Further, the Court outlined four criteria that differentiated Google’s self-preferencing from competition on the merits.

Specifically, the Court highlighted the “universal vocation” of Google’s search engine—that it is open to all users and designed to index results containing any possible content; the “superdominant” position that Google holds in the market for general Internet search; the high barriers to entry in the market for general search services; and what the Court deemed Google’s “abnormal” conduct—behaving in a way that defied expectations, given a search engine’s business model, and that changed after the company launched its comparison-shopping service.

While the precise contours of what the Court might consider discriminatory abuse aren’t yet clear, the decision’s listed criteria appear to be narrow in scope. This stands at odds with the much broader application of self-preferencing as a standalone abuse, both by the European Commission itself and by some national competition authorities (NCAs).

Indeed, just a few weeks after the General Court’s ruling, the Italian Competition Authority (AGCM) handed down a mammoth fine against Amazon over preferential treatment granted to third-party sellers who use the company’s own logistics and delivery services. Rather than reflecting the qualified set of criteria laid out by the General Court, the Italian decision was clearly inspired by the Commission’s approach in Google Shopping. Where the Commission described self-preferencing as a new form of leveraging abuse, AGCM characterized Amazon’s practices as tying.

Self-preferencing has also been raised as a potential abuse in the context of data and information practices. In November 2020, the European Commission sent Amazon a statement of objections detailing its preliminary view that the company had infringed antitrust rules by making systematic use of non-public business data, gathered from independent retailers who sell on Amazon’s marketplace, to advantage the company’s own retail business. (Amazon responded with a set of commitments currently under review by the Commission.)

Both the Commission and the U.K. Competition and Markets Authority have lodged similar allegations against Facebook over data gathered from advertisers and then used to compete with those advertisers in markets in which Facebook is active, such as classified ads. The Commission’s antitrust proceeding against Apple over its App Store rules likewise highlights concerns that the company may use its platform position to obtain valuable data about the activities and offers of its competitors, while competing developers may be denied access to important customer data.

These enforcement actions brought by NCAs and the Commission appear at odds with the more bounded criteria set out by the General Court in Google Shopping, and raise tremendous uncertainty regarding the scope and definition of the alleged new theory of harm.

Self-Preferencing, Platform Neutrality, and the Limits of Antitrust Law

The growing tendency to invoke self-preferencing as a standalone theory of antitrust harm could serve two significant goals for European competition enforcers. As mentioned earlier, it offers a convenient shortcut that could allow enforcers to skip the legal standards and evidentiary burdens traditionally required to prove anticompetitive behavior. Moreover, it can function, in practice, as a means to impose a neutrality regime on digital gatekeepers, with the aims of both ensuring a level playing field among competitors and neutralizing the potential conflicts of interests implicated by dual-mode intermediation.

The dual roles performed by some platforms continue to fuel the never-ending debate over vertical integration, as well as related concerns that, by giving preferential treatment to its own products and services, an integrated provider may leverage its dominance in one market to related markets. From this perspective, self-preferencing is an inevitable byproduct of the emergence of ecosystems.

However, as the Australian Competition and Consumer Commission has recognized, self-preferencing conduct is “often benign.” Furthermore, the total value generated by an ecosystem depends on the activities of independent complementors. Those activities are not completely under the platform’s control, although the platform is required to establish and maintain the governance structures regulating access to and interactions around that ecosystem.

Given this reality, a complete ban on self-preferencing may call the very existence of ecosystems into question, challenging their design and monetization strategies. Preferential treatment can take many different forms with many different potential effects, all stemming from platforms’ many different business models. This counsels for a differentiated, case-by-case, and effects-based approach to assessing the alleged competitive harms of self-preferencing.

Antitrust law does not impose on platforms a general duty to ensure neutrality by sharing their competitive advantages with rivals. Moreover, possessing a competitive advantage does not automatically equal an anticompetitive effect. As the European Court of Justice recently stated in Servizio Elettrico Nazionale, competition law is not intended to protect the competitive structure of the market, but rather to protect consumer welfare. Accordingly, not every exclusionary effect is detrimental to competition. Distinctions must be drawn between foreclosure and anticompetitive foreclosure, as only the latter may be penalized under antitrust.

The Four Ways of Spending Data

Stephen Dnes — 28 July 2022

[TOTM: The following is part of a digital symposium by TOTM guests and authors on Antitrust’s Uncertain Future: Visions of Competition in the New Regulatory Landscape. Information on the authors and the entire series of posts is available here.]

In Free to Choose, Milton Friedman famously noted that there are four ways to spend money[1]:

Spending your own money on yourself. For example, buying groceries or lunch. There is a strong incentive to economize and to get full value.
Spending your own money on someone else. For example, buying a gift for another. There is a strong incentive to economize, but perhaps less to achieve full value from the other person’s point of view. Altruism is admirable, but it differs from value maximization, since—strictly speaking—giving cash would maximize the other’s value. Perhaps the point of a gift is that it does not amount to cash and the maximization of the other person’s welfare from their point of view.
Spending someone else’s money on yourself. For example, an expensed business lunch. “Pass me the filet mignon and Chateau Lafite! Do you have one of those menus without any prices?” There is a strong incentive to get maximum utility, but there is little incentive to economize.
Spending someone else’s money on someone else. For example, applying the proceeds of taxes or donations. There may be an indirect desire to see utility, but incentives for quality and cost management are often diminished.

This framework can be criticized. Altruism has a role. Not all motives are selfish. There is an important role for action to help those less fortunate, which might mean, for instance, that a charity gains more utility from category (4) (assisting the needy) than from category (3) (the charity’s holiday party). It always depends on the facts and the context. However, there is certainly a grain of truth in the observation that charity begins at home and that, in the final analysis, people are best at managing their own affairs.

How would this insight apply to data interoperability? The difficult cases of assisting the needy do not arise here: there is no serious sense in which data interoperability does, or does not, result in destitution. Thus, Friedman’s observations seem to ring true: when spending data, those whose data it is seem most likely to maximize its value. This is especially so where collection of data responds to incentives—that is, the amount of data collected and processed responds to how much control over the data is possible.

The obvious exception to this would be a case of market power. If there is a monopoly with persistent barriers to entry, then the incentive may not be to maximize total utility, and therefore to limit data handling to the extent that a higher price can be charged for the lesser amount of data that does remain available. This has arguably been seen with some data-handling rules: the “Jedi Blue” agreement on advertising bidding, Apple’s Intelligent Tracking Prevention and App Tracking Transparency, and Google’s proposed Privacy Sandbox, all restrict the ability of others to handle data. Indeed, they may fail Friedman’s framework, since they amount to the platform deciding how to spend others’ data—in this case, by not allowing them to collect and process it at all.

It should be emphasized, though, that this is a special case. It depends on market power, and existing antitrust and competition laws speak to it. The courts will decide whether cases like Daily Mail v Google and Texas et al. v Google show illegal monopolization of data flows, so as to fall within this special case of market power. Outside the United States, cases like the U.K. Competition and Markets Authority’s Google Privacy Sandbox commitments and the European Union’s proposed commitments with Amazon seek to allow others to continue to handle their data and to prevent exclusivity from arising from platform dynamics, which could happen if a large platform prevents others from deciding how to account for data they are collecting. It will be recalled that even Robert Bork thought that there was risk of market power harms from the large Microsoft Windows platform a generation ago.[2] Where market power risks are proven, there is a strong case that data exclusivity raises concerns because of an artificial barrier to entry. It would only be if the benefits of centralized data control were to outweigh the deadweight loss from data restrictions that this would be untrue (though query how well the legal processes verify this).

Yet the latest proposals go well beyond this. A broad interoperability right amounts to “open season” for spending others’ data. This makes perfect sense in the European Union, where there is no large domestic technology platform, meaning that the data is essentially owned via foreign entities (mostly, the shareholders of successful U.S. and Chinese companies). It must be very tempting to run an industrial policy on the basis that “we’ll never be Google” and thus to embrace “sharing is caring” as to others’ data.

But this would transgress the warning from Friedman: would people optimize data collection if it is open to mandatory sharing even without proof of market power? It is deeply concerning that the EU’s DATA Act is accompanied by an infographic that suggests that coffee-machine data might be subject to mandatory sharing, to allow competition in services related to the data (e.g., sales of pods; spare-parts automation). There being no monopoly in coffee machines, this simply forces vertical disintegration of data collection and handling. Why put a data-collection system into a coffee maker at all, if it is to be a common resource? Friedman’s category (4) would apply: the data is taken and spent by another. There is no guarantee that there would be sensible decision making surrounding the resource.

It will be interesting to see how common-law jurisdictions approach this issue. At the risk of stating the obvious, the polity in continental Europe differs from that in the English-speaking democracies when it comes to whether the collective, or the individual, should be in the driving seat. A close read of the UK CMA’s Google commitments is interesting, in that paragraph 30 requires no self-preferencing in data collection and requires future data-handling systems to be designed with impacts on competition in mind. No doubt the CMA is seeking to prevent data-handling exclusivity on the basis that this prevents companies from using their data collection to compete. This is far from the EU DATA Act’s position in that it is certainly not a right to handle Google’s data: it is simply a right to continue to process one’s own data.

U.S. proposals are at an earlier stage. It would seem important, as a matter of principle, not to make arbitrary decisions about vertical integration in data systems, and to identify specific market-power concerns instead, in line with common-law approaches to antitrust.

It might be very attractive to the EU to spend others’ data on their behalf, but that does not make it right. Those working on the U.S. proposals would do well to ensure that there is a meaningful market-power gate to avoid unintended consequences.

Disclaimer: The author was engaged for expert advice relating to the UK CMA’s Privacy Sandbox case on behalf of the complainant Marketers for an Open Web.

[1] Milton Friedman, Free to Choose, 1980, pp.115-119

[2] Comments at the Yale Law School conference, Robert H. Bork’s influence on Antitrust Law, Sep. 27-28, 2013.

The Woman in the High Office

Dirk Auer — 27 July 2022

[TOTM: The following is part of a digital symposium by TOTM guests and authors on Antitrust’s Uncertain Future: Visions of Competition in the New Regulatory Landscape. Information on the authors and the entire series of posts is available here.]

May 2007, Palo Alto

The California sun shone warmly on Eric Schmidt’s face as he stepped out of his car and made his way to have dinner at Madera, a chic Palo Alto restaurant.

Dining out was a welcome distraction from the endless succession of strategy meetings with the nitpickers of the law department, which had been Schmidt’s bread and butter for the last few months. The lawyers seemed to take issue with any new project that Google’s engineers came up with. “How would rivals compete with our maps?”; “Our placement should be no less favorable than rivals’’; etc. The objections were endless.

This is not how things were supposed to be. When Schmidt became Google’s chief executive officer in 2001, his mission was to take the company public and grow the firm into markets other than search. But then something unexpected happened. After campaigning on an anti-monopoly platform, a freshman senator from Minnesota managed to get her anti-discrimination bill through Congress in just her first few months in office. All companies with a market cap of more than $150 billion were now prohibited from favoring their own products. Google had recently crossed that Rubicon, putting a stop to years of carefree expansion into new markets.

But today was different. The waiter led Schmidt to his table overlooking Silicon Valley. His acquaintance was already seated.

With his tall and slender figure, Andy Rubin had garnered quite a reputation among Silicon Valley’s elite. After engineering stints at Apple and Motorola, developing various handheld devices, Rubin had set up his own shop. The idea was bold: develop the first open mobile platform—based on Linux, nonetheless. Rubin had pitched the project to Google in 2005 but given the regulatory uncertainty over the future of antitrust—the same wave of populist sentiment that would carry Klobuchar to office one year later—Schmidt and his team had passed.

“There’s no money in open source,” the company’s CFO ruled. Schmidt had initially objected, but with more pressing matters to deal with, he ultimately followed his CFO’s advice.

Schmidt and Rubin were exchanging pleasantries about Microsoft and Java when the meals arrived–sublime Wagyu short ribs and charred spring onions paired with a 1986 Chateau Margaux.

Rubin finally cut to the chase. “Our mobile operating system will rely on state-of-the-art touchscreen technology. Just like the device being developed by Apple. Buying Android today might be your only way to avoid paying monopoly prices to access Apple’s mobile users tomorrow.”

Schmidt knew this all too well: The future was mobile, and few companies were taking Apple’s upcoming iPhone seriously enough. Even better, as a firm, Android was treading water. Like many other startups, it had excellent software but no business model. And with the Klobuchar bill putting the brakes on startup investment—monetizing an ecosystem had become a delicate legal proposition, deterring established firms from acquiring startups–Schmidt was in the middle of a buyer’s market. “Android we could make us a force to reckon with” Schmidt thought to himself.

But he quickly shook that thought, remembering the words of his CFO: “There is no money in open source.” In an ideal world, Google would have used Android to promote its search engine—placing a search bar on Android users to draw users to its search engine—or maybe it could have tied a proprietary app store to the operating system, thus earning money from in-app purchases. But with the Klobuchar bill, these were no longer options. Not without endless haggling with Google’s planning committee of lawyers.

And they would have a point, of course. Google risked heavy fines and court-issued injunctions that would stop the project in its tracks. Such risks were not to be taken lightly. Schmidt needed a plan to make the Android platform profitable while accommodating Google’s rivals, but he had none.

The desserts were served, Schmidt steered the conversation to other topics, and the sun slowly set over Sand Hill Road.

Present Day, Cupertino

Apple continues to dominate the smartphone industry with little signs of significant competition on the horizon. While there are continuing rumors that Google, Facebook, or even TikTok might enter the market, these have so far failed to transpire.

Google’s failed partnership with Samsung, back in 2012, still looms large over the industry. After lengthy talks to create an open mobile platform failed to materialize, Google ultimately entered into an agreement with the longstanding mobile manufacturer. Unfortunately, the deal was mired by antitrust issues and clashing visions—Samsung was believed to favor a closed ecosystem, rather than the open platform envisioned by Google.

The sense that Apple is running away with the market is only reinforced by recent developments. Last week, Tim Cook unveiled the company’s new iPhone 11—the first ever mobile device to come with three cameras. With an eye-watering price tag of $1,199 for the top-of-the-line Pro model, it certainly is not cheap. In his presentation, Cook assured consumers Apple had solved the security issues that have been an important bugbear for the iPhone and its ecosystem of competing app stores.

Analysts expect the new range of devices will help Apple cement the iPhone’s 50% market share. This is especially likely given the important challenges that Apple’s main rivals continue to face.

The Windows Phone’s reputation for buggy software continues to undermine its competitive position, despite its comparatively low price point. Andy Rubin, the head of the Windows Phone, was reassuring in a press interview, but there is little tangible evidence he will manage to successfully rescue the flailing ship. Meanwhile, Huawei has come under increased scrutiny for the threats it may pose to U.S. national security. The Chinese manufacturer may face a U.S. sales ban, unless the company’s smartphone branch is sold to a U.S. buyer. Oracle is said to be a likely candidate.

The sorry state of mobile competition has become an increasingly prominent policy issue. President Klobuchar took to Twitter and called on mobile-device companies to refrain from acting as monopolists, intimating elsewhere that failure to do so might warrant tougher regulation than her anti-discrimination bill:

Archives For Google

The DMA’s Protectionist Origins

Alternative Digital Strategies to the DMA

Doubling Down on Sound Competition Laws

Careful Consideration of Costs and Unintended Consequences

Conclusion

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Section 230 Likely Does Not Apply to Information Developed by an LLM

Proving Defamation by AI

Conclusion

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Some Recent ‘Boss Battles’

Building Products Is Hard

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Google on the Death of the Internet Without Algorithms

Amici on Publishing and Section 230(f)(4)

Why This Isn’t Really (Just) a Roommates.com Case

Conclusion

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To Regulate Competition, You First Need to Attract Competition

Growth Is Key

Consider Local Economic and Political Conditions

Conclusion

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Proportionality and Bulk Data Collection

Effective Redress

Conclusion

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1. Are Quantitative Thresholds a Good Indicator of ‘Gatekeeper Power’?

2. Why Does the Bill not Apply to all App Stores?

3. Should Picking Among Legitimate Business Models Be up to Lawmakers or Consumers?

4. Does OAMA Account for the Security Risks of Sideloading?

5. How Will OAMA Safeguard the Rights of Covered Platforms?

6. Should Legislation Protect Competitors at the Expense of Consumers?

7. Shouldn’t the EU Bear the Risks of Bad Tech Regulation?

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European Case Law on Self-Preferencing

Self-Preferencing, Platform Neutrality, and the Limits of Antitrust Law

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May 2007, Palo Alto

Present Day, Cupertino

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