Auditing Algorithmic Personalization in TikTok Comment Sections
2026-03-27T08:52:18Z•84c6fadafc3f1b005522ee9c2d3d1ee2eeee9e9e2055f6eb8bdcd5c3c530a490
FakeAgentTikTokWildFakeBenchYouTubealgorithmic personalizationauditingbenchmarkscontent moderationcross-site trackingdatasetsdigital divideinfluence operationsmicro-videomisinformationmultimodal detectiononline advertisingpaywallsprivacyrecommendation systemsvalues extraction
What happened
This collection contains recent research on algorithmic personalization, misinformation, and online information ecosystems with implications for privacy, political manipulation, and content moderation. Key items: an audit of TikTok comment personalization showing partisan-aligned comment ranking divergence correlated with comment volume, engagement inequality, and partisan skew; an audit framework for measuring how cross-site web tracking (off-platform browsing) influences YouTube political and misinformation recommendations and whether privacy-focused browsers mitigate that effect; WildFakeB
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 84c6fadafc3f1b005522ee9c2d3d1ee2eeee9e9e2055f6eb8bdcd5c3c530a490
- Enrichment time
- 2026-03-27T08:52:18Z
- AI-assisted enrichment
- Yes
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