{"title":"Assessing social media platform data access for automated early warning of public health threats.","authors":"Katja Siling, Francisco Orchard, Laura Espinosa","doi":"10.1093/eurpub/ckag127","DOIUrl":null,"url":null,"abstract":"<p><p>Epidemic Intelligence aims to promptly detect and monitor health threats, but processing large volumes of information is time-consuming. Automated social media (SM) data collection can enhance this process. We reviewed 36 pre-selected SM (as of 1 June 2024), evaluating content relevance, data extraction mechanisms, and compliance with terms of use and data protection policies to assess suitability for inclusion in an automated early warning system. Six SM (BlueSky, Mastodon, Tumblr, X, Reddit, and YouTube) met all criteria. Findings can inform considerations for building a multi-source automated data collection system to strengthen early warning in public health and provide a framework for reassessing platform suitability as SM ecosystems evolve.</p>","PeriodicalId":12059,"journal":{"name":"European Journal of Public Health","volume":"36 4","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2026-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13368810/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/eurpub/ckag127","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Epidemic Intelligence aims to promptly detect and monitor health threats, but processing large volumes of information is time-consuming. Automated social media (SM) data collection can enhance this process. We reviewed 36 pre-selected SM (as of 1 June 2024), evaluating content relevance, data extraction mechanisms, and compliance with terms of use and data protection policies to assess suitability for inclusion in an automated early warning system. Six SM (BlueSky, Mastodon, Tumblr, X, Reddit, and YouTube) met all criteria. Findings can inform considerations for building a multi-source automated data collection system to strengthen early warning in public health and provide a framework for reassessing platform suitability as SM ecosystems evolve.
期刊介绍：
The European Journal of Public Health (EJPH) is a multidisciplinary journal aimed at attracting contributions from epidemiology, health services research, health economics, social sciences, management sciences, ethics and law, environmental health sciences, and other disciplines of relevance to public health. The journal provides a forum for discussion and debate of current international public health issues, with a focus on the European Region. Bi-monthly issues contain peer-reviewed original articles, editorials, commentaries, book reviews, news, letters to the editor, announcements of events, and various other features.
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