Background: Health care professionals are utilizing Twitter to communicate, develop disease surveillance systems, and mine health-related information. The immediate users of this health information is the general public, including patients. This necessitates the validation of health-related tweets by health care professionals to ensure they are evidence based and to avoid the use of noncredible information as a basis for critical decisions.
Objective: The aim of this study was to evaluate health-related tweets on Twitter for validity (evidence based) and to create awareness in the community regarding the importance of evidence-based health-related tweets.
Methods: All tweets containing health-related information in the Arabic language posted April 1-5, 2015, were mined from Twitter. The tweets were classified based on popularity, activity, interaction, and frequency to obtain 25 Twitter accounts (8 physician accounts, 10 nonofficial health institute accounts, 4 dietitian accounts, and 3 government institute accounts) and 625 tweets. These tweets were evaluated by 3 American Board-certified medical consultants and a score was generated (true/false) and interobserver agreement was calculated.
Results: A total of 625 health-related Arabic-language tweets were identified from 8 physician accounts, 10 nonofficial health institute accounts, 4 dietician accounts, and 3 government institute accounts. The reviewers labeled 320 (51.2%) tweets as false and 305 (48.8%) tweets as true. Comparative analysis of tweets by account type showed 60 of 75 (80%) tweets by government institutes, 124 of 201 (61.7%) tweets by physicians, and 42 of 101 (41.6%) tweets by dieticians were true. The interobserver agreement was moderate (range 0.78-0.22). More than half of the health-related tweets (169/248, 68.1%) from nonofficial health institutes and dietician accounts (59/101, 58.4%) were false. Tweets by the physicians were more likely to be rated "true" compared to other groups (P<.001).
Conclusions: Approximately half of the medical tweets from professional accounts on Twitter were found to be false based on expert review. Furthermore, most of the evidence-based health-related tweets are posted by government institutes and physicians.
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http://dx.doi.org/10.2196/jmir.4898 | DOI Listing |
Front Res Metr Anal
January 2025
Centre for Postgraduate Studies, Cape Peninsula University of Technology, Cape Town, South Africa.
Big Data communication researchers have highlighted the need for qualitative analysis of online science conversations to better understand their meaning. However, a scholarly gap exists in exploring how qualitative methods can be applied to small data regarding micro-bloggers' communications about science articles. While social media attention assists with article dissemination, qualitative research into the associated microblogging practices remains limited.
View Article and Find Full Text PDFBMC Public Health
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Victoria University, Institute for Health and Sport and Australian Health Policy Collaboration, Melbourne, Australia.
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View Article and Find Full Text PDFBMC Psychiatry
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Center for Behavioral Intervention Technologies, Northwestern University, Chicago, IL, USA.
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Department of Health Administration and Policy, George Mason University, Fairfax, VA, United States.
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View Article and Find Full Text PDFHealthcare (Basel)
September 2024
Department of Communication Studies, School of Communication, University of Miami, Coral Gables, FL 33146, USA.
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