TY - JOUR
T1 - A new application of social impact in social media for overcoming fake news in health
AU - Pulido, Cristina M.
AU - Ruiz-Eugenio, Laura
AU - Redondo-Sama, Gisela
AU - Villarejo-Carballido, Beatriz
N1 - Funding Information:
Funding: This research was funded by the European Social Fund and Spanish Agency of Research under the Ramon y Cajal grant number RYC-2015-17533.
Publisher Copyright:
© 2020 by the author.
PY - 2020/4/3
Y1 - 2020/4/3
N2 - 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.
AB - 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.
KW - Ebola
KW - Fake news
KW - Nutrition
KW - Public health
KW - Social impact in social media
KW - Social media analysis
KW - Vaccines
UR - http://www.scopus.com/inward/record.url?scp=85083022645&partnerID=8YFLogxK
U2 - https://doi.org/10.3390/ijerph17072430
DO - https://doi.org/10.3390/ijerph17072430
M3 - Article
C2 - 32260048
AN - SCOPUS:85083022645
VL - 17
IS - 7
M1 - 2430
ER -
