Comparing Sentiment Contagion in AI-Agent and Human Social Networks: Evidence from MOLTBOOK
arXiv 2606.06665•74abcc48e971553bc589de1f6372a5c394533f94dc68fd6b12e8173ead8f1306
adversarial-datasetai-generated-contentbot-detectioncarbon-footprintcultural-marketsdaoevent-driven-simulatorsfinancial-networksgovernanceimpersonationinteroperability-standardsllmsmarLmisinformationmulti-agent-systemsopinion-dynamicspatentsrecommender-systemssentiment-analysissocial-botssustainability
Paper metadata
- arXiv ID
- 2606.06665
- 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
- 74abcc48e971553bc589de1f6372a5c394533f94dc68fd6b12e8173ead8f1306
- Enrichment time
- 2026-06-08T08:52:16Z
- AI-assisted enrichment
- Yes
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