Assessing social media platform data access for automated early warning of public health threats.
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 extrac...
| Publicado en: | European Journal of Public Health Vol. 36; no. 4; pp. 1 - 4 |
|---|---|
| Autores principales: | , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Aug2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=196002955&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196002955 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11011262 BHW jtl: European Journal of Public Health issn: 11011262 maglogo: N pubinfo: dt: Aug2026 vid: 36 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 196002955 196002955 196002955 10.1093/eurpub/ckag127 196002955 ppf: 1 ppct: 3 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Assessing social media platform data access for automated early warning of public health threats. aug: au: Siling, Katja Orchard, Francisco Espinosa, Laura affil: European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden sug: subj: Social Media Automation Data Collection Access to Information Population Surveillance Disease Surveillance Public Health Health Information Systems Data Management ab: 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. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|