Seeking Help, Facing Harm: Auditing TikTok's Mental Health Recommendations

2026-04-17T08:52:14Z5b40098af4b396c2b4b00f8a79e70fcf2aed3890d4a86db02af45d3382f022d7
GNNLLM-agentsbiometricscitation-farmingcontent-moderationcoordinated-manipulationgraph-machine-learninginformation-overloadintervention-aware-simulationmental-healthmisinformationmultimodalplatform-abuseplatform-safetyprivacyrecommender-systemsresearch-integrityself-harmsocial-network-simulationsource-localization

What happened

Collection of recent arXiv outputs with several findings relevant to platform safety, manipulation, and analysis tools. A 7-day audit of TikTok shows engagement-driven amplification of mental-health content (~45% daily recommendations) and persistent low-but-nonzero exposure to potentially harmful suicide/self-harm content, indicating recommender insensitivity to help-seeking intent and a need for context-aware safeguards. A study on ResearchGate documents coordinated citation-farming via equal-reference groups that can materially inflate citation counts, threatening research-metric integrity.

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_si
Record identifier
5b40098af4b396c2b4b00f8a79e70fcf2aed3890d4a86db02af45d3382f022d7
Enrichment time
2026-04-17T08:52:14Z
AI-assisted enrichment
Yes

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