Annotation of Positive vs Negative User Interactions for Social Sign Prediction

2026-06-05T08:52:20Za71801f3573c5221627b72de9ec24c145e23962d25cdfa1410e52d0365983b0d
citation-retrievalcultural-alignmentdeanonymizationemergent-coordinationgeodesic-searchgithubgovernancegroundinghallucinationllmmanipulationmastodonmisinformationmulti-agentnetwork-scienceontologypersonaprivacyqLORArecLMrecommender-systemsredditstanc e-simulationuser-profiling

What happened

Collection of recent arXiv CS (social/information) papers covering: zero-shot LLM annotation of interaction-level relational signals for sign prediction; RecLM, a unified framework that eliminates out-of-domain recommendations (includes Microsoft/RecAI GitHub link); reviews and methods for network model selection; RedditPersona, a modular Reddit-derived pipeline that trains QLoRA adapters per community (16M+ comments, user profiling); an audit framework showing LLM-based stance simulation is highly context-sensitive (risk of manipulated simulated stances); analysis of Mastodon governance at-s/

Why it matters

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

Evidence and limitations

Source ID
arxiv_cs_si
Record identifier
a71801f3573c5221627b72de9ec24c145e23962d25cdfa1410e52d0365983b0d
Enrichment time
2026-06-05T08:52:20Z
AI-assisted enrichment
Yes

This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.