{
  "abstract": "Background: Digital communication ecosystems have amplified the spread of health misinformation, creating infodemics that challenge public health systems. While artificial intelligence (AI) enables real-time monitoring of information dynamics, its integration into public health decision-making remains limited.\n\nMethods: An evidence-informed conceptual framework was developed building on a previously conducted scoping review of studies investigating AI and digital technologies for infodemic management. An interpretive evidence synthesis approach was used to identify key functional domains and translate them into a governance-oriented model.\n\nResults: The synthesis of 63 studies identified core domains of digital infodemic management, including digital monitoring and infoveillance, AI-based misinformation detection, infodemic dynamics in digital ecosystems, communication strategies, and governance frameworks. Building on these domains, a four-component governance framework was developed, integrating digital data ecosystems, AI analytics, interpretive public health expertise, and institutional decision-making processes. The model describes a structured pathway through which digital signals are transformed into coordinated public health responses.\n\nConclusions: AI provides powerful tools for monitoring complex digital information environments, but effective public health impact depends on governance structures capable of translating analytical insights into coordinated action. This framework offers a structured model to support decision-making in digital public health systems.\n\nKey messages: • Artificial intelligence and infodemic management: a governance framework for Public Health.\n\n• Integrating AI analytics with governance frameworks enables the translation of digital insights into effective public health action.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "abstract",
  "arxiv": null,
  "author_total": 10,
  "authors": [
    {
      "name": "A Cianciulli"
    },
    {
      "name": "E Santoro"
    },
    {
      "name": "A Pacifico"
    },
    {
      "name": "E Nuccio"
    },
    {
      "name": "A Armenante"
    },
    {
      "name": "M Finizio"
    },
    {
      "name": "G Comunale"
    },
    {
      "name": "N Marra"
    },
    {
      "name": "SQ Quagliarella"
    },
    {
      "name": "G Boccia"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4chv8h2w7m7de.bib",
  "cited_by": 0,
  "doi": "10.1093/eurpub/ckag169.1210",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13699344/",
  "id": "4chv8h2w7m7de",
  "issns": [
    "1101-1262",
    "1464-360X"
  ],
  "landing_url": "https://doi.org/10.1093/eurpub/ckag169.1210",
  "language": "en",
  "licence": "CC-BY-NC-4.0",
  "licence_label": "CC BY-NC 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "6. Poster Displays"
    ],
    [
      "heading",
      "AcademicSubjects/MED00860"
    ],
    [
      "heading",
      "AcademicSubjects/SOC01210"
    ],
    [
      "heading",
      "AcademicSubjects/SOC02610"
    ],
    [
      "heading",
      "DE. Digital health and Artificial Intelligence"
    ],
    [
      "openalex",
      "3312|Misinformation and Its Impacts"
    ]
  ],
  "openalex": "W7223677576",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13699344/pdf/?tool=EBI",
  "pmcid": "PMC13699344",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "Oxford University Press",
  "ris": "https://research.draconitic.com/paper/4chv8h2w7m7de.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:59Z",
      "native_id": "PMC13699344",
      "source": "pmc",
      "url": "https://doi.org/10.1093/eurpub/ckag169.1210"
    },
    {
      "first_seen": "2026-10-30T12:21:48Z",
      "native_id": "PMC:PMC13699344",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13699344"
    }
  ],
  "subjects": [],
  "title": "Artificial intelligence and infodemic management: a governance framework for public health",
  "title_text": "Artificial intelligence and infodemic management: a governance framework for public health",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:35:56Z",
  "url": "https://research.draconitic.com/paper/4chv8h2w7m7de",
  "venue": "The European Journal of Public Health",
  "versions": []
}