The Rise of ‘AI Slop!’ Accusations Is Becoming a New Form of Gatekeeping – Unite.AI
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Calling something ‘AI slop’ has become the internet’s new witch-hunt, with Reddit and Hacker News users increasingly accusing fellow commenters of being robots, even when there’s no evidence of this.
A new study from Norway and the UAE has found that accusations against supposed ‘AI slop’ from other commenters rose sharply across Reddit and Hacker News between 2023 and 2026, even when the comment showed no evidence of being AI-generated.<br>Results from the authors’ analysis of 25 million comments suggest that such accusations are increasingly functioning as an emergent form of social gatekeeping, rather than as a way to identify AI.<br>The researchers also found that technically-minded communities adopted the ‘accusation culture’ earlier than other groups, with the pattern later spreading across wider areas of Reddit.<br>This apparent rise in accusations around ‘AI slop’ does not appear to be part of a broader or more general increase in online hostility: older invective forms such as ‘shill’, ‘sockpuppet’, and ‘troll’ remained relatively stable during the same period, suggesting that suspicion of AI emerged as a novel form of social boundary-policing, rather than a continuation or extension of earlier internet feuds.<br>The paper states:<br>‘We analyzed 25 million comments from Hacker News and Reddit (2023-2026), combining LLM judgment on 7,500 sampled accusations of AI use, sentiment trajectories, speech-act coding of 300 confirmed accusations of AI use, and a matched-control test of accused versus non-accused parent comments.<br>‘We found that the pejorative-label share of accusations rose more than tenfold on both platforms while a placebo vocabulary of pre-2022 inauthenticity terms (“shill”, “astroturf”) did not.<br>‘This shift reflected a fast-growing trend of branding any suspicious or seemingly inauthentic prose as “AI slop”.<br>‘The slop frame now constitutes 94 percent of pejorative mentions, with the dominant comments shifting in tone from mockery toward gatekeeping and structural protest.’<br>The study raises the broader question as to whether people can really spot AI writing, since fluent prose – formerly treated as evidence of effort, expertise, or genuine engagement – is now an abundant and increasingly devalued commodity.<br>It’s interesting to note that the new work concentrates on Hacker News, which is vigilantly policed against AI-generated comments, and on Reddit, whose constant flow of human-based discourse is now highly-prized for AI developers and companies, as well as becoming a new prime target for SEO spammers looking to invade LLM-based web rankings by proxy.<br>The researchers believe that their findings accord with the growing public understanding that prior sources of truth could be devalued as the use of AI spreads. The new paper discusses real people accused of being AI entities, either through genuine error, stylistic conflation, or malice (i.e., the accuser knows their opponent is human, but wishes to shut them down); but predicts other types of communication being similarly tarnished:<br>‘Our results here would predict that similar AI-use accusations will form for image authentication, voice authentication, and code authorship among others, with the core intent of the lay accusation being gatekeeping rather than empirically accurate detection of AI use.<br>‘This will become increasingly problematic as AI in those areas reduces even the empirically detectable tip-offs that experts can find.<br>‘This could have the effect of increasing the role of experts in verifying AI vs. non-AI content; or it could greatly reduce trust in any type of medium that can be plausibly generated by AI.’<br>The new paper* is titled “That’s AI Slop, You Bot!” Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments, and comes from two reviewers across the University of Oslo and the American University of Sharjah.<br>Method<br>The dataset developed for the new study comprised all public comments posted to Hacker News and 18 selected Reddit communities between January 2023 and May 2026.<br>Around 25 million comments were curated, with 12 million from Hacker News, and 13 million from Reddit. Reddit data was obtained from the Arctic Shift archive through its public JSON API, while Hacker News comments were collected from the Algolia Hacker News search archive.<br>To avoid focusing on a single type of community, the Reddit sample was divided across AI-focused forums including r/aiwars, r/ArtistHate, r/ChatGPT, r/OpenAI, r/MachineLearning, r/LocalLLaMA and r/singularity; creative communities comprising r/Art, r/writing and r/books; the general-interest forums r/AskReddit, r/news,...