Communications of the ACM
TikTok to Adjust Its Algorithm to Avoid Negative Reinforcement
TikTok says it is testing ways to avoid pushing too much content from a certain topic to individual users.
Credit: Mike Blake/Reuters
Popular video-sharing app TikTok said it would adjust its recommendation algorithm to avoid showing users too much of the same content, as social-media platforms globally come under scrutiny for their potential harm to younger users.
TikTok said on Thursday that it is testing ways to avoid pushing too much content from a certain topic, such as extreme dieting, sadness or breakups, to individual users to protect their mental well-being.
The buzzy app, whose monthly user numbers surpassed 1 billion in September, said it was taking such measures to protect against users "viewing too much of a content category that may be fine as a single video but problematic in clusters."
From The Wall Street Journal
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