Seeking Help, Facing Harm: Auditing TikTok's Mental Health Recommendations
arXiv 2604.14832•5b40098af4b396c2b4b00f8a79e70fcf2aed3890d4a86db02af45d3382f022d7
GNNLLM-agentsbiometricscitation-farmingcontent-moderationcoordinated-manipulationgraph-machine-learninginformation-overloadintervention-aware-simulationmental-healthmisinformationmultimodalplatform-abuseplatform-safetyprivacyrecommender-systemsresearch-integrityself-harmsocial-network-simulationsource-localization
Paper metadata
- arXiv ID
- 2604.14832
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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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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