G
Gisela Redondo-Sama
Researcher at University of Deusto
Publications - 19
Citations - 704
Gisela Redondo-Sama is an academic researcher from University of Deusto. The author has contributed to research in topics: Social media & Social impact assessment. The author has an hindex of 9, co-authored 16 publications receiving 443 citations. Previous affiliations of Gisela Redondo-Sama include University of Zaragoza & University of Cambridge.
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COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information
TL;DR: Analysis of the type of tweets that circulated on Twitter around the COVID-19 outbreak for two days, in order to analyze how false and true information was shared, shows that false information is tweeted more but retweeted less than science-based evidence or fact-checking tweets, while science- based evidence and fact- checking tweets capture more engagement than mere facts.
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A New Application of Social Impact in Social Media for Overcoming Fake News in Health.
TL;DR: 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 deliberation contexts promoted in social media overcome false information about health.
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Social impact in social media: A new method to evaluate the social impact of research
TL;DR: The social impact coverage ratio (SICOR) is defined to identify the percentage of tweets and Facebook posts providing information about potential or actual social impact in relation to the total amount of social media data found related to specific research projects.
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False news around COVID-19 circulated less on sina weibo than on twitter. How to overcome false information?
Cristina Pulido Rodríguez,Beatriz Villarejo Carballido,Gisela Redondo-Sama,Mengna Guo,Mimar Ramis,Ramón Flecha +5 more
TL;DR: Comparisons of the type of Tweets and Sina Weibo posts regarding COVID-19 that contain either false or scientific veracious information show that there is more false news published and shared on Twitter than in Sina weibo, at the same time science-based evidence is more shared onTwitter than in Weibo but less than false news.
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Social Work during the COVID-19 Crisis: Responding to Urgent Social Needs
TL;DR: In this paper, the authors analyzed the immediate responses in social work to vulnerable groups in the first 15 days of the pandemic in Barcelona, one of the most affected areas worldwide by COVID-19.