Paragraph 1: The Shock of Seeing Your Own Face Used to Spread a Lie
Imagine scrolling through social media one ordinary Tuesday and suddenly encountering a video that appears to be a legitimate news broadcast, complete with familiar faces and serious claims. Now imagine realizing that the face being used to spread a damaging political lie is your own. That is exactly what happened to Haya Akbik, a former intern for Ohio Senator Sherrod Brown. The video, which circulated during the final days of the midterm campaign, looked like a news segment but was reportedly produced with artificial intelligence and linked to Russian disinformation efforts. It included Akbik’s photo and those of other former staff members, along with fabricated allegations attributed to them. Akbik told the Associated Press she was appalled. “It’s my name, it’s my reputation, making this allegation, and it’s just completely false,” she said. “And it harms the senator, someone else, in the process. So, it’s just messed up.” Her reaction captures a deeply personal violation that is becoming increasingly common in modern politics: the weaponization of real identities to peddle fake stories. In the chaotic, high-stakes final stretch before Election Day, these videos are not just annoying or confusing—they are dangerous. They prey on voters’ trust, manipulate real people’s images, and threaten the integrity of democratic elections. For Akbik, the experience was more than a political scare; it was a stark reminder that artificial intelligence has made it disturbingly easy to create convincing lies that can go viral before anyone has a chance to correct the record. Her story is the human face of an issue that experts have been warning about for years: foreign adversaries using cutting-edge technology to sow division and distrust among American voters. And as the videos continued to spread even after being flagged, her frustration underscores how difficult it is to contain this kind of damage once it has been unleashed.
Paragraph 2: The Videos and Their Targets: Brown and Talarico Under Attack
The disinformation campaign did not stop with Ohio. A similar video targeted James Talarico, a Democratic Senate candidate in Texas running against Republican Ken Paxton. That clip was framed as a direct-to-camera confession from a former student of Talarico, making false and harmful statements designed to damage his campaign. Unlike the Brown video, which seemed like a “fairly low-tech fake” according to experts, the Talarico video appeared to be fully generated by artificial intelligence. Both videos shared a common goal: to persuade undecided voters to turn away from the Democratic candidates by creating the illusion of scandal or misconduct. The accusations were entirely invented, but they were packaged in ways that looked credible enough to be shared widely. Talarico’s spokesperson, JT Ennis, responded with a forceful statement: “The most powerful people in the world know they can’t beat James Talarico with the truth, so they’re slandering him with AI deepfakes, foreign bots, and conspiracy theories to protect their broken, corrupt political system.” The Brown video, meanwhile, used the likenesses of former interns and staff members to give the fake story an air of authenticity. This is a classic tactic in disinformation: use real names and faces to make a completely fabricated story feel grounded in reality. It exploits the public’s natural tendency to trust familiar people and credible-looking formats. In the rush of the news cycle, with voters trying to make sense of a barrage of information, these fake videos can blur the line between fact and fiction. They are designed not necessarily to convince everyone, but to plant seeds of doubt, confusion, and cynicism—especially in the final days when voters are making up their minds.
Paragraph 3: A Familiar Russian Playbook: Experts See the Storm-1516 Signature
Experts who study disinformation quickly noticed something familiar about the videos. They resembled clips from Storm-1516, a Russian network that had previously targeted Vice President Kamala Harris and Minnesota Governor Tim Walz during the 2024 presidential campaign. Darren Linvill, a professor and media forensics expert at Clemson University, said the new videos bore similar hallmarks and were likely products of the same network. He found that the accounts sharing the recent material had previously shared Storm-1516 content, creating a digital trail that pointed in the same direction. Hany Farid, a Dartmouth College professor specializing in AI deepfakes, conducted his own analysis and concluded that the videos were probably either generated or manipulated using artificial intelligence. Farid also noted that the timing—right before Election Day—was consistent with previous disinformation campaigns designed to interfere with American elections. The Russian Embassy in Washington did not immediately respond to requests for comment, though Russia has consistently denied interfering in U.S. elections. The U.S. Cybersecurity and Infrastructure Security Agency, which had publicly identified Russian disinformation in past election cycles, also did not comment. The fact that these videos appear to be part of a coordinated foreign influence operation is deeply troubling, but it is not surprising. For years, security agencies and researchers have warned that Russia and other adversaries continue to adapt their tactics, using new technologies like generative AI to create more sophisticated and harder-to-detect lies. The videos targeting Brown and Talarico are a reminder that the threat is not hypothetical—it is happening right now, in real time, with real consequences. What makes this version of the playbook particularly insidious is the use of AI to create content that can be produced quickly, at scale, and with no need for human actors or elaborate production teams. A single operator could generate a convincing fake video in minutes and distribute it across social media platforms, reaching millions of people before anyone can debunk it.
Paragraph 4: The Human Toll and the Threat to Democratic Trust
Behind the strategic analysis and expert commentary, there is a profoundly human cost to this kind of disinformation. Haya Akbik is not a political figure seeking attention; she was an intern who worked for Sherrod Brown several years ago. She has no control over her image being used in a Russian disinformation video, no platform to correct every false claim, and no way to undo the damage to her reputation. “This is so damaging,” she said, with a sense of helplessness that echoes through her words. For Akbik, the attack is not just about politics—it is about her name, her character, and her future. The same is true for the former student in the Talarico video, the staffers in the Brown video, and anyone whose face is co-opted for sinister purposes. They are collateral damage in a larger geopolitical struggle, caught in a web of lies woven by actors who do not care about the lives they affect. But the harm extends beyond the individuals directly targeted. When voters are exposed to convincing fake videos, their trust in the electoral process erodes. They begin to wonder what is real and what is manufactured, which candidates can be believed, and whether their votes truly matter. This erosion of trust is precisely the goal of foreign adversaries. They do not care who wins the election; they care about weakening the democratic system itself. Every viral deepfake, every confusing piece of disinformation, every shouted accusation that turns out to be fabricated contributes to a culture of cynicism and division. In that way, the videos targeting Brown and Talarico are not just attacks on two candidates—they are attacks on the very idea of informed, democratic decision-making. They exploit the open nature of American society, using our freedoms against us, and they leave behind a residue of doubt that can linger long after the election is over.
Paragraph 5: The Struggle to Stop the Spread and the Call for Action
The social media platform X, formerly known as Twitter, did take some action. The company removed the initial posts that shared the videos and suspended the users who posted them, citing violations of platform rules. But by Tuesday, copies of the videos were still circulating online, with some posts receiving hundreds of shares. This illustrates a fundamental challenge in the fight against disinformation: once a lie is out in the wild, it is almost impossible to fully contain. Every retweet, share, or re-upload creates a new copy that can evade moderation efforts. Platforms are caught in a constant game of whack-a-mole, trying to keep up with an endless stream of manipulated content. For Akbik, this experience underscores the urgent need for Congress to regulate what she called “AI slop on the internet.” Her frustration reflects a growing consensus among technology experts, civil rights advocates, and ordinary citizens that self-regulation is not enough. The technology behind AI-generated content is advancing faster than the laws and policies designed to manage it. There are currently few legal consequences for creating or distributing deepfakes, and even fewer mechanisms for victims to seek justice. Some states have passed laws addressing election-related deepfakes, but federal legislation has lagged. Meanwhile, foreign adversaries continue to exploit this gap, knowing that the risk of being caught and punished is low. The videos targeting Brown and Talarico are a wake-up call for policymakers, who must decide whether to act before the next election cycle or continue to watch from the sidelines as the problem grows. But regulation alone is not a silver bullet. Social media platforms must also invest in better detection tools, more transparent labeling of AI-generated content, and more aggressive enforcement of their own rules. And voters, too, have a role to play—developing the critical thinking skills to question suspicious content, verifying information from reliable sources, and refusing to share anything that seems designed to provoke outrage rather than inform.
Paragraph 6: A Moment of Reckoning for Democracy in the Age of AI
The videos targeting Sherrod Brown and James Talarico serve as a stark reminder that the 2024 election—and every election that follows—will be fought not only on the campaign trail but also in the digital battlefield. Artificial intelligence has changed the rules of the game, empowering bad actors to create convincing fake content at a scale and speed that was unimaginable just a few years ago. The ability to manipulate audio, video, and images has become widely accessible, which means that anyone with a computer and a grudge can attempt to influence public opinion. This is not a problem that will simply go away after Election Day. It is a permanent feature of the modern information landscape, and it requires a permanent, coordinated response. Government agencies, technology companies, journalists, researchers, and citizens all have a stake in preserving the integrity of democratic discourse. The research conducted by experts like Darren Linvill and Hany Farid is crucial, but it is only a first step. Investigative journalism, public awareness campaigns, and international cooperation are equally important. The fact that foreign adversaries are so invested in American elections should be a source of outrage and vigilance, not despair. It means that our democracy is powerful enough to be worth attacking, which is both a threat and a sign of strength. The story of Haya Akbik—a young woman who suddenly found herself at the center of a Russian disinformation campaign—is a reminder that the consequences of these attacks are not abstract. They are felt by real people, with real names and real reputations. As we head toward the final days of voting, the best defense against disinformation is a commitment to truth, a willingness to slow down and question what we see, and a shared determination not to let foreign manipulators decide who represents us. The videos may be fake, but the stakes are very real—and so is our ability to choose a better path forward.