Toward Real-Time Infoveillance of Twitter Health Messages.
There is growing interest in conducting public health research using data from social media. In particular, Twitter "infoveillance" has demonstrated utility across health contexts. However, rigorous and reproducible methodologies for using Twitter data in public health are not yet well articulated,...
| Publicado en: | American Journal of Public Health Vol. 108; no. 8; pp. 1009 - 1015 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Public Health Association
Aug2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=130649044&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 130649044 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Aug2018 vid: 108 iid: 8 pid: 44 pub: American Public Health Association artinfo: ui: 130649044 10.2105/AJPH.2018.304497 ppf: 1009 ppct: 6 formats: tig: atl: Toward Real-Time Infoveillance of Twitter Health Messages. aug: au: Colditz, Jason B. Chu, Kar-Hai Emery, Sherry L. Larkin, Chandler R. James, A. Everette Welling, Joel Primack, Brian A. su: Twitter (Web resource) Health & society Public health & society Attitude (Psychology) Health Smoking Information resources Biosurveillance Real-time computing Medical communication -- Social aspects Hookahs Tobacco & health Conceptual structures Health care teams Information retrieval Acquisition of data sug: subj: Health & society Public health & society Attitude (Psychology) Health Smoking Information resources Health and Welfare Funds Biosurveillance Real-time computing Medical communication -- Social aspects Hookahs Tobacco & health Conceptual structures Health care teams Information retrieval Acquisition of data Twitter (Web resource) ab: There is growing interest in conducting public health research using data from social media. In particular, Twitter "infoveillance" has demonstrated utility across health contexts. However, rigorous and reproducible methodologies for using Twitter data in public health are not yet well articulated, particularly those related to content analysis, which is a highly popular approach. In 2014, we gathered an interdisciplinary team of health science researchers, computer scientists, and methodologists to begin implementing an open-source framework for real-time infoveillance of Twitter health messages (RITHM). Through this process, we documented common challenges and novel solutions to inform future work in real-time Twitter data collection and subsequent human coding. The RITHM framework allows researchers and practitioners to use well-planned and reproducible processes in retrieving, storing, filtering, subsampling, and formatting data for health topics of interest. Further considerations for human coding of Twitter data include coder selection and training, data representation, codebook development and refinement, and monitoring coding accuracy and productivity. We illustrate methodological considerations through practical examples from formative work related to hookah tobacco smoking, and we reference essential methods literature related to understanding and using Twitter data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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