TikTok's For You page delivers mental health videos primarily according to engagement patterns rather than user intent signals, with low but persistent levels of harmful content even for help-seeking accounts.
Protecting young users on social media: Evaluating the effectiveness of content moderation and legal safeguards on video sharing platforms.arXiv preprint arXiv:2505.11160, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 2representative citing papers
SafeLens presents a fast-and-slow video guardrail framework that filters the SafeWatch dataset to 2.4% and adds Chain-of-Thought traces to achieve state-of-the-art moderation performance at reduced inference cost.
citing papers explorer
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Seeking Help, Facing Harm: Auditing TikTok's Mental Health Recommendations
TikTok's For You page delivers mental health videos primarily according to engagement patterns rather than user intent signals, with low but persistent levels of harmful content even for help-seeking accounts.
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SafeLens: Deliberate and Efficient Video Guardrails with Fast-and-Slow Screening
SafeLens presents a fast-and-slow video guardrail framework that filters the SafeWatch dataset to 2.4% and adds Chain-of-Thought traces to achieve state-of-the-art moderation performance at reduced inference cost.