AI Contagion in Social Networks
arXiv:2606.15206v2 Announce Type: replace-cross Abstract: We study how artificial intelligence (AI) interacts with social communication networks to shape the stability of collective knowledge. Agents exchange information through a network while AI systems generate content and retrain on the aggregate informational environment they influence. This interaction creates a recursive feedback loop in which informational distortions diffuse through society and subsequently feed back into future AI outp
Record details
Published: 21 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 21 July 2026
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ethics.ai (21 July 2026), “AI Contagion in Social Networks,” evidence record 11957, https://ethics.ai/record/11957 (originally published by arXiv cs.CY).
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