Thanks for sharing this. There is a history of methodological discussions around the arbitrary boundary between covert and unethical research. What I've read on the topic has been f2f ethnographic, but I think could/should be applied to cases like this to expand the discussion to digital/social media platforms as well as to content-analytic and other social media-relevant methods. https://journals.sagepub.com/doi/abs/10.1177/0038038510387195 https://doi.org/10.4135/9781473920835 -p. On Sat, May 3, 2025 at 6:59 PM Joly MacFie via Air-L < air-l@listserv.aoir.org> wrote:
[posted in full for discussion purposes]
https://www.theatlantic.com/technology/archive/2025/05/reddit-ai-persuasion-...
By Tom Bartlett
When Reddit rebranded itself as “the heart of the internet” a couple of years ago, the slogan was meant to evoke the site’s organic character. In an age of social media dominated by algorithms, Reddit took pride in being curated by a community that expressed its feelings in the form of upvotes and downvotes—in other words, being shaped by actual people.
So earlier this week, when members of a popular subreddit learned that their community had been infiltrated by undercover researchers posting AI-written comments and passing them off as human thoughts, the Redditors were predictably incensed. They called the experiment “violating,” “shameful,” “infuriating,” and “very disturbing.” As the backlash intensified, the researchers went silent, refusing to reveal their identity or answer questions about their methodology. The university that employs them has announced that it’s investigating. Meanwhile, Reddit’s chief legal officer, Ben Lee, wrote that the company intends to “ensure that the researchers are held accountable for their misdeeds.”
Joining the chorus of disapproval were fellow internet researchers, who condemned what they saw as a plainly unethical experiment. Amy Bruckman, a professor at the Georgia Institute of Technology who has studied online communities for more than two decades, told me the Reddit fiasco is “the worst internet-research ethics violation I have ever seen, no contest.” What’s more, she and others worry that the uproar could undermine the work of scholars who are using more conventional methods to study a crucial problem: how AI influences the way humans think and relate to one another.
The researchers, based at the University of Zurich, wanted to find out whether AI-generated responses could change people’s views. So they headed to the aptly named subreddit r/changemyview, in which users debate important societal issues, along with plenty of trivial topics, and award points to posts that talk them out of their original position. Over the course of four months, the researchers posted more than 1,000 AI-generated comments on pitbulls (is aggression the fault of the breed or the owner?), the housing crisis (is living with your parents the solution?), DEI programs (were they destined to fail?). The AI commenters argued that browsing Reddit is a waste of time and that the “controlled demolition” 9/11 conspiracy theory has some merit. And as they offered their computer-generated opinions, they also shared their backstories. One claimed to be a trauma counselor; another described himself as a victim of statutory rape.
In one sense, the AI comments appear to have been rather effective. When researchers asked the AI to personalize its arguments to a Redditor’s biographical details, including gender, age, and political leanings (inferred, courtesy of another AI model, through the Redditor’s post history), a surprising number of minds indeed appear to have been changed. Those personalized AI arguments received, on average, far higher scores in the subreddit’s point system than nearly all human commenters, according to preliminary findings that the researchers shared with Reddit moderators and later made private. (This analysis, of course, assumes that no one else in the subreddit was using AI to hone their arguments.)
The researchers had a tougher time convincing Redditors that their covert study was justified. After they had finished the experiment, they contacted the subreddit’s moderators, revealed their identity, and requested to “debrief” the subreddit—that is, to announce to members that for months, they had been unwitting subjects in a scientific experiment. “They were rather surprised that we had such a negative reaction to the experiment,” says one moderator, who asked to be identified by his username, LucidLeviathan, to protect his privacy. According to LucidLeviathan, the moderators requested that the researchers not publish such tainted work, and that they issue an apology. The researchers refused. After more than a month of back-and-forth, the moderators revealed what they had learned about the experiment (minus the researchers’ names) to the rest of the subreddit, making clear their disapproval.
When the moderators sent a complaint to the University of Zurich, the university noted in its response that the “project yields important insights, and the risks (e.g. trauma etc.) are minimal,” according to an excerpt posted by moderators. In a statement to me, a university spokesperson said that the ethics board had received notice of the study last month, advised the researchers to comply with the subreddit’s rules, and “intends to adopt a stricter review process in the future.” Meanwhile, the researchers defended their approach in a Reddit comment, arguing that “none of the comments advocate for harmful positions” and that each AI-generated comment was reviewed by a human team member before being posted. (I sent an email to an anonymized address for the researchers, posted by Reddit moderators, and received a reply that directed my inquiries to the university.)
Perhaps the most telling aspect of the Zurich researchers’ defense was that, as they saw it, deception was integral to the study. The University of Zurich’s ethics board—which can offer researchers advice but, according to the university, lacks the power to reject studies that fall short of its standards—told the researchers before they began posting that “the participants should be informed as much as possible,” according to the university statement I received. But the researchers seem to believe that doing so would have ruined the experiment. “To ethically test LLMs’ persuasive power in realistic scenarios, an unaware setting was necessary,” because it more realistically mimics how people would respond to unidentified bad actors in real-world settings, the researchers wrote in one of their Reddit comments.
How humans are likely to respond in such a scenario is an urgent issue and a worthy subject of academic research. In their preliminary results, the researchers concluded that AI arguments can be “highly persuasive in real-world contexts, surpassing all previously known benchmarks of human persuasiveness.” (Because the researchers finally agreed this week not to publish a paper about the experiment, the accuracy of that verdict will probably never be fully assessed, which is its own sort of shame.) The prospect of having your mind changed by something that doesn’t have one is deeply unsettling. That persuasive superpower could also be employed for nefarious ends.
Still, scientists don’t have to flout the norms of experimenting on human subjects in order to evaluate the threat. “The general finding that AI can be on the upper end of human persuasiveness—more persuasive than most humans—jibes with what laboratory experiments have found,” Christian Tarsney, a senior research fellow at the University of Texas at Austin, told me. In one recent laboratory experiment, participants who believed in conspiracy theories voluntarily chatted with an AI; after three exchanges, about a quarter of them lost faith in their previous beliefs. Another found that ChatGPT produced more persuasive disinformation than humans, and that participants who were asked to distinguish between real posts and those written by AI could not effectively do so.
Giovanni Spitale, the lead author of that study, also happens to be a scholar at the University of Zurich, and has been in touch with one of the researchers behind the Reddit AI experiment, who asked him not to reveal their identity. “We are receiving dozens of death threats,” the researcher wrote to him, in a message Spitale shared with me. “Please keep the secret for the safety of my family.”
One likely reason the backlash has been so strong is because, on a platform as close-knit as Reddit, betrayal cuts deep. “One of the pillars of that community is mutual trust,” Spitale told me; it’s part of the reason he opposes experimenting on Redditors without their knowledge. Several scholars I spoke with about this latest ethical quandary compared it—unfavorably—to Facebook’s infamous emotional-contagion study. For one week in 2012, Facebook altered users’ News Feed to see if viewing more or less positive content changed their posting habits. (It did, a little bit.) Casey Fiesler, an associate professor at the University of Colorado at Boulder who studies ethics and online communities, told me that the emotional-contagion study pales in comparison with what the Zurich researchers did. “People were upset about that but not in the way that this Reddit community is upset,” she told me. “This felt a lot more personal.”
The reaction probably also has to do with the unnerving notion that ChatGPT knows what buttons to push in our minds. It’s one thing to be fooled by some human Facebook researchers with dubious ethical standards, and another entirely to be duped by a cosplaying chatbot. I read through dozens of the AI comments, and although they weren’t all brilliant, most of them seemed reasonable and genuine enough. They made a lot of good points, and I found myself nodding along more than once. As the Zurich researchers warn, without more robust detection tools, AI bots might “seamlessly blend into online communities”—that is, assuming they haven’t already.
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