{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T11:09:35Z","timestamp":1788952175747,"version":"build-2803163510"},"reference-count":23,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T00:00:00Z","timestamp":1788912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Digit. Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Digital communication ecosystems have profoundly transformed the circulation of health information. During public health crises, large volumes of information\u2014including misinformation and disinformation\u2014can spread rapidly across online platforms, generating complex information environments commonly described as infodemics. These dynamics can influence public risk perception, undermine trust in health institutions, and affect adherence to preventive measures. At the same time, advances in artificial intelligence (AI) and digital technologies have created new opportunities for monitoring information flows and identifying emerging misinformation patterns in real time. However, the translation of AI-generated insights into coordinated public health decision-making processes remains limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study developed a conceptual governance framework aimed at explaining how AI-generated insights derived from digital information ecosystems can be translated into evidence-informed public health responses. The framework was developed through a secondary conceptual analysis of the complete evidence extraction database generated from a previously published scoping review including 63 studies. The methodological approach combined thematic synthesis of empirical evidence with conceptual modeling techniques commonly used in public health systems research.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The synthesis of the literature identified several thematic domains describing how digital technologies and artificial intelligence are used to monitor and respond to health misinformation within digital communication ecosystems. Building on these domains, this study proposes a governance-oriented conceptual framework integrating digital data ecosystems, artificial intelligence analytics, interpretive public health expertise, and institutional governance mechanisms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Artificial intelligence technologies offer powerful tools for monitoring complex digital information environments, yet their integration into public health decision-making requires governance models capable of linking analytical insights with institutional responses. The proposed framework contributes to the emerging field of digital public health governance by providing a structured conceptual model for translating AI-generated insights into coordinated public health actions during infodemic events. Although the framework remains preliminary and requires formal validation, it provides a structured conceptual basis for future empirical implementation and governance research.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fdgth.2026.1830005","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T10:13:45Z","timestamp":1788948825000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial intelligence and infodemic management: a governance framework for digital public health decision-making"],"prefix":"10.3389","volume":"8","author":[{"given":"Angelo","family":"Cianciulli","sequence":"first","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emanuela","family":"Santoro","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonietta","family":"Pacifico","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberta","family":"Manente","sequence":"additional","affiliation":[{"name":"San Giovanni di Dio e Ruggi D\u2019Aragona University Hospital","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marika","family":"Finizio","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppina","family":"Speziga","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mario","family":"Capunzo","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giovanni","family":"Boccia","sequence":"additional","affiliation":[{"name":"Department of Medicine, Surgery and Dentistry \u201cScuola Medica Salernitana\u201d, University of Salerno","place":["Salerno, Italy"]},{"name":"Integrated Care Department of Health Hygiene and Evaluative Medicine, San Giovanni di Dio e Ruggi D\u2019Aragona University Hospital","place":["Salerno, Italy"]},{"name":"Hospital and Epidemiological Hygiene Unit, San Giovanni di Dio and Ruggi D\u2019Aragona University Hospital","place":["Salerno, Italy"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,9]]},"reference":[{"key":"B1","volume-title":"Managing the COVID-19 Infodemic","year":"2020"},{"key":"B2","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1016\/S0140-6736(20)30461-X","article-title":"How to fight an infodemic","volume":"395","author":"Zarocostas","year":"2020","journal-title":"Lancet"},{"key":"B3","doi-asserted-by":"publisher","first-page":"16598","DOI":"10.1038\/s41598-020-73510-5","article-title":"The COVID-19 social media infodemic","volume":"10","author":"Cinelli","year":"2020","journal-title":"Sci Rep"},{"key":"B4","doi-asserted-by":"publisher","first-page":"e7255","DOI":"10.7759\/cureus.7255","article-title":"Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter","volume":"12","author":"Kouzy","year":"2020","journal-title":"Cureus"},{"key":"B5","doi-asserted-by":"publisher","first-page":"e1002616","DOI":"10.1371\/journal.pcbi.1002616","article-title":"Digital epidemiology","volume":"8","author":"Salath\u00e9","year":"2012","journal-title":"PLoS Comput Biol"},{"key":"B6","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1111\/1468-0009.12038","article-title":"Social media and internet-based data in global systems for public health surveillance: a systematic review","volume":"92","author":"Velasco","year":"2014","journal-title":"Milbank Q"},{"key":"B7","doi-asserted-by":"publisher","first-page":"1644041","DOI":"10.3389\/fdgth.2025.1644041","article-title":"Artificial intelligence in healthcare: applications, challenges, and future directions. 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