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A New Application of Social Impact in Social Media for Overcoming Fake News in Health.
Pulido, Cristina M; Ruiz-Eugenio, Laura; Redondo-Sama, Gisela; Villarejo-Carballido, Beatriz.
  • Pulido CM; Department of Journalism and Communication Studies, Universitat Autònoma de Barcelona, Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Barcelona, Spain.
  • Ruiz-Eugenio L; Department of Theory and History of Education, University of Barcelona, Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain.
  • Redondo-Sama G; Faculty of Social and Human Sciences, University of Deusto, Unibertsitate Etorb., 24, 48007 Bilbo, Bizkaia, Spain.
  • Villarejo-Carballido B; Faculty of Psychology and Education, University of Deusto, Unibertsitate Etorb., 24, 48007 Bilbo, Bizkaia, Spain.
Int J Environ Res Public Health ; 17(7)2020 04 03.
Article in English | MEDLINE | ID: covidwho-27413
ABSTRACT
One of the challenges today is to face fake news (false information) in health due to its potential impact on people's lives. This article contributes to a new application of social impact in social media (SISM) methodology. This study focuses on the social impact of the research to identify what type of health information is false and what type of information is evidence of the social impact shared in social media. The analysis of social media includes Reddit, Facebook, and Twitter. This analysis contributes to identifying how interactions in these forms of social media depend on the type of information shared. The results indicate that messages focused on fake health information are mostly aggressive, those based on evidence of social impact are respectful and transformative, and finally, deliberation contexts promoted in social media overcome false information about health. These results contribute to advancing knowledge in overcoming fake health-related news shared in social media.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Trust / Social Media / Deception Type of study: Experimental Studies Language: English Year: 2020 Document Type: Article Affiliation country: IJERPH17072430

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Trust / Social Media / Deception Type of study: Experimental Studies Language: English Year: 2020 Document Type: Article Affiliation country: IJERPH17072430