{
  "abstract": "Disinformation on online social media has been on the rise in the past years. While there is extensive literature modelling social cascades, online disinformation cascades show distinctive characteristics: they provoke debunking reactions, they spread over networks with heterogeneous connectivity, and they compete for the limited attention of users --- which recommendation algorithms may partly offset. We propose a model including these ingredients and study it through Monte--Carlo simulations and mean--field approximations, on random graphs and an empirical Twitter network. We find that debunking reactions are double--edged: they reduce the reach of appealing items but allow unappealing ones to reach audiences they would not otherwise reach. Degree heterogeneity makes cascades trigger at a much lower content appeal but limits their final reach: heterogeneous networks are easy to ignite yet hard to saturate. Limited attention cancels the effects from degree heterogeneity, although the mediation of recommendation algorithms may restore them.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.13839",
  "author_total": 3,
  "authors": [
    {
      "name": "Guillermo Romero Moreno"
    },
    {
      "name": "Valentin Robu"
    },
    {
      "name": "Han La Poutré"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/8qqx35296j4zy.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.13839",
  "fulltext_url": null,
  "id": "8qqx35296j4zy",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.13839",
  "language": null,
  "licence": "CC-BY-NC-SA-4.0",
  "licence_label": "CC BY-NC-SA 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.soc-ph"
    ],
    [
      "openalex",
      "3109|Complex Network Analysis Techniques"
    ]
  ],
  "openalex": "W7221552263",
  "pdf_url": "https://arxiv.org/pdf/2610.13839",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-09",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/8qqx35296j4zy.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:28:36Z",
      "native_id": "2610.13839",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.13839"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.soc-ph",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "Modelling the complex dynamics of online disinformation cascades",
  "title_text": "Modelling the complex dynamics of online disinformation cascades",
  "type": "preprint",
  "updated_at": "2026-10-30T12:28:36Z",
  "url": "https://research.draconitic.com/paper/8qqx35296j4zy",
  "venue": "arXiv",
  "versions": []
}