New York Says TikTok Gave Some Teens a Feed Reset That Didn't Work
New York alleges TikTok gave thousands of users, including children and teenagers, safety features that did not work, even as those users believed they were protected. The Verge
The claim appears in an updated version of the state's 2024 lawsuit against TikTok. That filing was first sealed and was later ordered unsealed by a judge.
At the center is TikTok's algorithm-reset control, a setting meant to clear personalization in a feed and help users avoid harmful content. New York alleges TikTok ran an experiment that withheld the working control from a subset of users. Those users went through the activation steps and believed a reset had occurred. Their feeds did not change. Users given the working version saw their feeds change.
The state alleges other parallel tests. In one, TikTok withheld a safety update to the algorithm, the software that decides which videos to show, from some users. Separately, the suit claims TikTok presented its Algo Refresh tool as a permanent reset when the reset was temporary.
Internal records cited in the filing include an objection from a TikTok Digital Well Being product manager, who said "a placebo group completely conflicts with algorithm transparency and control".
A TikTok spokesperson, Nathaniel Brown, said the company "regularly tests new products and features to validate the experience and understand how they work in the real world".
The allegations were reported by Reuters on Oct. 7, 2026, under the headline "TikTok gave teens, children placebo safety feature in experiment, New York alleges" Reuters. That report was written by Diana Novak Jones.
The unsealed claims add to a separate track of state litigation. On Sept. 25, TikTok agreed to pay Alabama at least $100 million to resolve a lawsuit and to implement safety features for teens ABC News.
The broader context here is familiar to anyone who builds recommender systems. Holdout groups, staged rollouts and treatment-versus-control tests, where one group gets a change and another does not so results can be compared, are standard ways to measure shifts in ranking, user retention and speed tradeoffs. Applying that method to a safety control is different. A feed reset is not a button color. It carries a direct promise that what the feed shows will change.
Looking at what this means for platform engineering, the dispute turns on consent and observability. Users cannot inspect the stored data or training history behind their feed. They rely on confirmation shown in the app. If that confirmation appears without a real change behind it, logs and app measurements still record a success. That breaks the feedback loop teams use to judge whether harm was reduced.
In my view, the lasting question is less whether testing happened than where the line should sit for safety tools. Courts and regulators are now being asked to define which controls must be kept out of placebo testing, what disclosure is required when they are tested, and how temporary fixes must be labeled. Clear answers would help builders. They would also give users reason to trust the toggle the next time they use it.
