When we’re faced with a video recording of an event—such as an incident of police brutality—we can generally trust that the event happened as shown in the video. But that may soon change, thanks to the advent of so-called “deepfake” videos that use machine learning technology to show a real person saying and doing things they haven’t.

This technology poses a particular threat to marginalized communities. If deepfakes cause society to move away from the current “seeing is believing” paradigm for video footage, that shift may negatively impact individuals whose stories society is already less likely to believe. The proliferation of video recording technology has fueled a reckoning with police violence in the United States, recorded by bystanders and body-cameras. But in a world of pervasive, compelling deepfakes, the burden of proof to verify authenticity of videos may shift onto the videographer, a development that would further undermine attempts to seek justice for police violence. To counter deepfakes, high-tech tools meant to increase trust in videos are in development, but these technologies, though well-intentioned, could end up being used to discredit already marginalized voices. 

(Content Note: Some of the links in this piece lead to graphic videos of incidents of police violence. Those links are denoted in bold.)

Recent police killings of Black Americans caught on camera have inspired massive protests that have filled U.S. streets in the past year. Those protests endured for months in Minneapolis, where former police officer Derek Chauvin was convicted this week in the murder of George Floyd, a Black man. During Chauvin’s trial, another police officer killed Daunte Wright just outside Minneapolis, prompting additional protests as well as the officer’s resignation and arrest on second-degree manslaughter charges. She supposedly mistook her gun for her Taser—the same mistake alleged in the fatal shooting of Oscar Grant in 2009, by an officer whom a jury later found guilty of involuntary manslaughter (but not guilty of a more serious charge). All three of these tragic deaths—George Floyd, Daunte Wright, Oscar Grant—were documented in videos that were later used (or, in Wright’s case, seem likely to be used) as evidence at the trials of the police officers responsible. Both Floyd’s and Wright’s deaths were captured by the respective officers’ body-worn cameras, and multiple bystanders with cell phones recorded the Floyd and Grant incidents. Some commentators credit a 17-year-old Black girl’s video recording of Floyd’s death for making Chauvin’s trial happen at all.

The growth of the movement for Black lives in the years since Grant’s death in 2009 owes much to the rise in the availability, quality, and virality of bystander videos documenting police violence, but this video evidence hasn’t always been enough to secure convictions. From Rodney King’s assailants in 1992 to Philando Castile’s shooter 25 years later, juries have often declined to convict police officers even in cases where wanton police violence or killings are documented on video. Despite their growing prevalence, police bodycams have had mixed results in deterring excessive force or impelling accountability. That said, bodycam videos do sometimes make a difference, helping to convict officers in the killings of Jordan Edwards in Texas and Laquan McDonald in Chicago. Chauvin’s defense team pitted bodycam footage against the bystander videos employed by the prosecution, and lost.

What makes video so powerful? Why does it spur crowds to take to the streets and lawyers to showcase it in trials? It’s because seeing is believing. Shot at differing angles from officers’ point of view, bystander footage paints a fuller picture of what happened. Two people (on a jury, say, or watching a viral video online) might interpret a video two different ways. But they’ve generally been able to take for granted that the footage is a true, accurate record of something that really happened. 

That might not be the case for much longer. It’s now possible to use artificial intelligence to generate highly realistic “deepfake” videos showing real people saying and doing things they never said or did, such as the recent viral TikTok videos depicting an ersatz Tom Cruise. You can also find realistic headshots of people who don’t exist at all on the creatively-named website thispersondoesnotexist.com. (There’s even a cat version.) 

While using deepfake technology to invent cats or impersonate movie stars might be cute, the technology has more sinister uses as well. In March, the Federal Bureau of Investigation issued a warning that malicious actors are “almost certain” to use “synthetic content” in disinformation campaigns against the American public and in criminal schemes to defraud U.S. businesses. The breakneck pace of deepfake technology’s development has prompted concerns that techniques for detecting such imagery will be unable to keep up. If so, the high-tech cat-and-mouse game between creators and debunkers might end in a stalemate at best. 

If it becomes impossible to reliably prove that a fake video isn’t real, a more feasible alternative might be to focus instead on proving that a real video isn’t fake. So-called “verified at capture” or “controlled-capture” technologies attach additional metadata to imagery at the moment it’s taken, to verify when and where the footage was recorded and reveal any attempt to tamper with the data. The goal of these technologies, which are still in their infancy, is to ensure that an image’s integrity will stand up to scrutiny. 

Photo and video verification technology holds promise for confirming what’s real in the age of “fake news.” But it’s also cause for concern. In a society where guilty verdicts for police officers remain elusive despite ample video evidence, is even more technology the answer? Or will it simply reinforce existing inequities? 

The “ambitious goal” of adding verification technology to smartphone chipsets necessarily entails increasing the cost of production. Once such phones start to come onto the market, they will be more expensive than lower-end devices that lack this functionality. And not everyone will be able to afford them. Black Americans and poor Americans have lower rates of smartphone ownership than whites and high earners, and are more likely to own a “dumb” cell phone. (The same pattern holds true with regard to educational attainment and urban versus rural residence.) Unless and until verification technology is baked into even the most affordable phones, it risks replicating existing disparities in digital access. 

That has implications for police accountability, and, by extension, for Black lives. Primed by societal concerns about deepfakes and “fake news,” juries may start expecting high-tech proof that a video is real. That might lead them to doubt the veracity of bystander videos of police brutality if they were captured on lower-end phones that lack verification technology. Extrapolating from current trends in phone ownership, such bystanders are more likely to be members of marginalized racial and socioeconomic groups. Those are the very people who, as witnesses in court, face an uphill battle in being afforded credibility by juries. That bias, which reared its ugly head again in the Chauvin trial, has long outlived the 19th-century rules that explicitly barred Black (and other non-white) people from testifying for or against white people on the grounds that their race rendered them inherently unreliable witnesses. 

In short, skepticism of “unverified” phone videos may compound existing prejudices against the owners of those phones. That may matter less in situations where a diverse group of numerous eyewitnesses record a police brutality incident on a range of devices. But if there is only a single bystander witness to the scene, the kind of phone they own could prove significant.

The advent of mobile devices empowered Black Americans to force a national reckoning with police brutality. Ubiquitous, pocket-sized video recorders allow average bystanders to document the pandemic of police violence. And because seeing is believing, those videos make it harder for others to continue denying the problem exists. Even with the evidence thrust under their noses, juries keep acquitting police officers who kill Black people. Chauvin’s conviction this week represents an exception to recent history: Between 2005 and 2019, of the 104 law enforcement officers charged with murder or manslaughter in connection with a shooting while on duty, 35 were convicted. 

The fight against fake videos will complicate the fight for Black lives. Unless it is equally available to everyone, video verification technology may not help the movement for police accountability, and could even set it back. Technological guarantees of videos’ trustworthiness will make little difference if they are accessible only to the privileged, whose stories society already tends to believe. We might be able to tech our way out of the deepfakes threat, but we can’t tech our way out of America’s systemic racism. 

Riana Pfefferkorn is a research scholar at the Stanford Internet Observatory

I am a huge fan of transparency about platform content moderation. I’ve considered it a top policy priority for years, and written about it in detail (with Paddy Leerssen, who also wrote this great piece about recommendation algorithms and transparency). I sincerely believe that without it, we are unlikely to correctly diagnose current problems or arrive at wise legal solutions.

So it pains me to admit that I don’t really know what “transparency” I’m asking for. I don’t think many other people do, either. Researchers and public interest advocates around the world can agree that more transparency is better. But, aside from people with very particular areas of interest (like political advertising), almost no one has a clear wish list. What information is really important? What information is merely nice to have? What are the trade-offs involved?

That imprecision is about to become a problem, though it’s a good kind of problem to have. A moment of real political opportunity is at hand. Lawmakers in the US, Europe, and elsewhere are ready to make some form of transparency mandatory. Whatever specific legal requirements they create will have huge consequences. The data, content, or explanations they require platforms to produce will shape our future understanding of platform operations, and our ability to respond — as consumers, as advocates, or as democracies. Whatever disclosures the laws don’t require, may never happen.

It’s easy to respond to this by saying “platforms should track all the possible data, we’ll see what’s useful later!” Some version of this approach might be justified for the very biggest “gatekeeper” or “systemically important” platforms. Of course, making Facebook or Google save all that data would be somewhat ironic, given the trouble they’ve landed in by storing similar not-clearly-needed data about their users in the past. (And the more detailed data we store about particular takedowns, the likelier it is to be personally identifiable.)

For any platform, though, we should recognize that the new practices required for transparency reporting comes at a cost. That cost might include driving platforms to adopt simpler, blunter content rules in their Terms of Service. That would reduce their expenses in classifying or explaining decisions, but presumably lead to overly broad or narrow content prohibitions. It might raise the cost of adding “social features” like user comments enough that some online businesses, like retailers or news sites, just give up on them. That would reduce some forms of innovation, and eliminate useful information for Internet users. For small and midsized platforms, transparency obligations (like other expenses related to content moderation) might add yet another reason to give up on competing with today’s giants, and accept an acquisition offer from an incumbent that already has moderation and transparency tools. Highly prescriptive transparency obligations might also drive de facto standardization and homogeneity in platform rules, moderation practices, and features.

None of these costs provides a reason to give up on transparency — or even to greatly reduce our expectations. But all of them are reasons to be thoughtful about what we ask for. It would be helpful if we could better quantify these costs, or get a handle on what transparency reporting is easier and harder to do in practice.

I’ve made a (very in the weeds) list of operational questions about transparency reporting, to illustrate some issues that are likely to arise in practice. I think detailed examples like these are helpful in thinking through both which kinds of data matter most, and how much precision we need within particular categories. For example, I personally want to know with great precision how many government orders a platform received, how it responded, and whether any orders led to later judicial review. But to me it seems OK to allow some margin of error for platforms that don’t have standardized tracking and queuing tools, and that as a result might modestly mis-count TOS takedowns (either by absolute numbers or percent).

I’ll list that and some other recommendations below. But these “recommendations” are very tentative. I don’t know enough to have a really clear set of preferences yet. There are things I wish I could learn from technologists, activists, and researchers first. The venues where those conversations would ordinarily happen — and, importantly, where observers from very different backgrounds and perspectives could have compared the issues they see, and the data they most want — have been sadly reduced for the past year.

So here is my very preliminary list:

• Transparency mandates should be flexible enough to accommodate widely varying platform practices and policies. Any de facto push toward standardization should be limited to the very most essential data.
• The most important categories of data are probably the main ones listed in the DSA: number of takedowns, number of appeals, number of successful appeals. But as my list demonstrates, those all can become complicated in practice.
• It’s worth taking the time to get legal transparency mandates right. That may mean delegating exact transparency rules to regulatory agencies in some countries, or conducting studies prior to lawmaking in others.
• Once rules are set, lawmakers should be very reluctant to move the goalposts. If a platform (especially a smaller one) invests in rebuilding its content moderation tools to track certain categories of data, it should not have to overhaul those tools soon because of changed legal requirements.
• We should insist on precise data in some cases, and tolerate more imprecision in others (based on the importance of the issue, platform capacity, etc.). And we should take the time to figure out which is which.
• Numbers aren’t everything. Aggregate data in transparency reports ultimately just tell us what platforms themselves think is going on. To understand what mistakes they make, or what biases they may exhibit, independent researchers need to see the actual content involved in takedown decisions. (This in turn raises a slough of issues about storing potentially unlawful content, user privacy and data protection, and more.)

It’s time to prioritize. Researchers and civil society should assume we are operating with a limited transparency “budget,” which we must spend wisely — asking for the information we can best put to use, and factoring in the cost. We need better understanding of both research needs and platform capabilities to do this cost-benefit analysis well. I hope that the window of political opportunity does not close before we manage to do that.

In a new video series, CDDRL scholars Francis Fukuyama, the Olivier Nomellini Senior Fellow at the Freeman Spogli Institute for International Studies (FSI) and director of the Ford Dorsey Master's in International Policy, and Larry Diamond, FSI's Mosbacher Senior Fellow in Global Democracy, examine how democracy-promotion programs are being systematically weakened under the new administration. Building on Diamond's recent essay, The Crisis of Democracy Is Here, the discussions highlight growing threats to global democratic institutions and U.S. leadership in defending them.

In the first video, Fukuyama and Diamond discuss how the new United States presidential administration’s actions go beyond policy differences to threaten democratic institutions and the rule of law. They highlight concerns over Elon Musk’s involvement in government operations, potential violations of legal procedures, and efforts to undermine checks and balances. Diamond warns that moves like firing inspectors general and withholding congressionally approved funds signal an authoritarian shift rather than legitimate governance. The conversation urges vigilance in distinguishing policy changes from power grabs that erode democracy.

In a CDDRL Research Seminar Series talk, Julia Azari, Professor of Political Science at Marquette University, explored the link between race, presidential transformation, and impeachment crises. She argued that presidents who significantly alter the racial status quo often face backlash, leading to populist successors who undermine democratic norms and ultimately face impeachment. She examined three cases — Andrew Johnson following Abraham Lincoln, Richard Nixon following Lyndon Johnson, and Donald Trump following Barack Obama — highlighting how racial politics shaped their presidencies and impeachment crises.

Azari’s framework situates race at the heart of presidential politics. Presidents usually maintain political stability, but transformative leaders disrupt racial hierarchies through legislation, executive action, and symbolism. This disruption sparks resistance, exploited by successors who reject transformation and undermine opposition. These backlash presidents often overreach institutionally, leading to impeachment. However, Azari argued impeachment rarely halts reactionary movements, which outlast individual leaders and shape long-term politics.

Her first case examined Lincoln’s presidency, which ended decades of compromise over slavery through the Civil War, emancipation, and constitutional amendments. His successor, Andrew Johnson, sought to reverse these changes through “presidential reconstruction,” allowing Southern states to reinstate white supremacist governance. His impeachment stemmed from both political imperatives — opposing Radical Reconstruction — and institutional overreach, violating the Tenure of Office Act. Though he survived removal, Reconstruction ultimately failed, and white supremacy prevailed.

The second case analyzed Nixon’s presidency following Lyndon Johnson’s civil rights transformation. Johnson’s passage of landmark legislation triggered a white backlash, which Nixon capitalized on with “law and order” rhetoric and the Southern Strategy. His impeachment crisis resulted from abuses of executive power, including spying on opponents and obstructing justice in the Watergate scandal. Though Nixon resigned, his realignment of the Republican Party and weakening of civil rights enforcement persisted.

The final case examined Obama’s presidency, which symbolically challenged the whiteness of the office, intensifying racial polarization. Conspiracies about his identity and accusations of favoritism toward minorities fueled Trump’s rise. Trump embraced racially charged policies, from the Muslim travel ban to attacking the 1619 Project. His two impeachments reflected this broader racialized political crisis — first for withholding Ukraine aid to pressure an investigation into Biden, and second for inciting the January 6 insurrection to overturn the 2020 election.

Azari concluded that racial transformation triggers backlash, leading to populist leaders who challenge institutional norms and face impeachment. However, impeachment alone is ineffective in stopping these movements, as they continue shaping U.S. politics. With Trump’s continued influence and the 2024 election looming, this pattern of transformation, backlash, and institutional crisis is likely to persist.

India’s once-robust democracy is in decline, with the Bharatiya Janata Party (BJP) being the only party with effective political organizing and a clear national message. FSI Mosbacher Senior Fellow in Global Democracy Larry Diamond, Hoover Senior Fellow Šumit Ganguly, and Hoover Research Fellow Dinsha Mistree reflected on this reality in a CDDRL seminar series talk. The discussion built on findings from their recently released book, The Troubling State of India's Democracy (University of Michigan Press, 2024).

The absence of a coordinated opposition in India has continued to threaten the functioning of its democracy. The challenges confronting the Indian National Congress Party (INC) are at the heart of the problem.

In the first half of the twentieth century, the INC emerged as a healthy political party. It enjoyed a unified national vision that championed secularism and independence from the British Empire. By being inclusive towards various political and religious identities, it unified a vast coalition across India’s broad geography, utilizing effective grassroots organizing mechanisms.

Today, however, the INC is hampered by extreme personalism due to the domineering role of the Gandhi family. The party lacks the organization or national vision to compete with the BJP. This decline began under the populist prime minister Indira Gandhi, who rose to power in the late 1960s. She replaced party leaders with loyalists and sycophants, weakening critical party mechanisms. The party began to set aside ideologically-driven political priorities in favor of more personalistic sinecures.

As subsequent members of the Gandhi family continued to lead the party, the INC failed to pose as an effective alternative to the BJP. The lack of political options results in a harmful feedback loop where citizens are discouraged from engaging with the opposition at all because they perceive no other candidates as having a chance at gaining power.

The future of India’s democratic competition requires the revival of opposition parties. Local parties at the state level are unlikely to grow to match the BJP, as they are often focused on specific ethnic and regional concerns, as well as lacking the infrastructure to take on the BJP nationally. The INC, once a leading national party, is unlikely to reinvent itself effectively unless it is released from the personalist grasp of the Gandhi family. The history of coalition building among the diversity of parties at the state and regional levels may provide a potential model for democratic checks or even electoral alternation. In any case, vigorous opposition must emerge from within India's political party system if backsliding is to be countered in the world's largest democracy.

A full recording of the seminar can be viewed below: