Combining opinion and structural similarity in link recommendations to counter extreme polarization
arXiv 2604.20641•24cb80b1cc6757a3656aa4c79c09a93284756a35fb8ff997320d50414daf5db8
AI-safetyLLM-augmentationbehavioral-modelingcommunity-moderationcomplex-contagionhomophilyinference-stabilityinfluence-operationslearning-analyticsmisinformationnetwork-fragmentationpolarizationprivacyrecommender-systemssocial-media
Paper metadata
- arXiv ID
- 2604.20641
- 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
- 24cb80b1cc6757a3656aa4c79c09a93284756a35fb8ff997320d50414daf5db8
- Enrichment time
- 2026-04-23T08:52:13Z
- AI-assisted enrichment
- Yes
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