A New Application of Social Impact in Social Media for Overcoming Fake News in Health
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 wh...
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| Veröffentlicht in: | International journal of environmental research and public health 2020-04, Vol.17 (7), p.2430 |
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| creator | Pulido, Cristina M Ruiz-Eugenio, Laura Redondo-Sama, Gisela Villarejo-Carballido, Beatriz |
| description | 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. |
| doi_str_mv | 10.3390/ijerph17072430 |
| format | Article |
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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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17072430</identifier><identifier>PMID: 32260048</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>COVID-19 ; Digital broadcasting ; Digital media ; Epidemics ; False information ; Globalization ; Immunization ; Influence ; Measles ; Medical personnel ; Public health ; Social impact ; Social networks ; Vaccines ; Zika virus</subject><ispartof>International journal of environmental research and public health, 2020-04, Vol.17 (7), p.2430</ispartof><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. 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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. 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| subjects | COVID-19 Digital broadcasting Digital media Epidemics False information Globalization Immunization Influence Measles Medical personnel Public health Social impact Social networks Vaccines Zika virus |
| title | A New Application of Social Impact in Social Media for Overcoming Fake News in Health |
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