{
  "id": 4318,
  "url": "https://arxiv.org/abs/2605.14918v1",
  "title": "Static and Dynamic Strategies for Influencing Opinions in Social Networks",
  "summary": "The ability of a small set of coordinated actors to manipulate opinions in online social networks poses a serious challenge to the fairness and integrity of public debate. We investigate this problem by studying how targeted stubborn agents can shift the average opinion of a network governed by the Hegselmann-Krause bounded-confidence dynamics. Experiments are conducted on weighted LFR benchmark networks with community structure, using multiple node-selection strategies based on degree, strength",
  "authors": "Paolo Tarantino, Fabio Mazza, Carlo Piccardi, Francesco Pierri",
  "category": "research",
  "topics": "bias-fairness,agents-autonomy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-14T14:52:30.000Z",
  "fetched_at": "2026-07-14T16:30:54.921Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4318",
  "original_url": "https://arxiv.org/abs/2605.14918v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}