Autor según el artículo: Pulido CM; Villarejo-Carballido B; Redondo-Sama G; Gómez A

Departamento: Pedagogia

Autor/es de la URV: Gomez Gonzalez, Aitor / Redondo Sama, Gisela

Palabras clave: Social media analytics Social media Misinformation Infodemic Ebola Covid-19 Coronavirus Communicative content analysis

Resumen: © The Author(s) 2020. The World Health Organization has not only signaled the health risks of COVID-19, but also labeled the situation as infodemic, due to the amount of information, true and false, circulating around this topic. Research shows that, in social media, falsehood is shared far more than evidence-based information. However, there is less research analyzing the circulation of false and evidence-based information during health emergencies. Thus, the present study aims at shedding new light on 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. To that end, 1000 tweets have been analyzed. Results show 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. These findings bring relevant insights to inform public health policies.

Áreas temáticas: Sociology and political science Sociology Sociologia i política Sociología Serviço social Saúde coletiva Interdisciplinar Historia Direito Ciencias sociales

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

Direcció de correo del autor: gisela.redondo@urv.cat aitor.gomez@urv.cat

Identificador del autor: 0000-0003-2240-7795 0000-0001-8994-9885

Fecha de alta del registro: 2023-02-19

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://journals.sagepub.com/doi/10.1177/0268580920914755

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: International Sociology. 35 (0268580920914755): 377-392

Referencia de l'ítem segons les normes APA: Pulido CM; Villarejo-Carballido B; Redondo-Sama G; Gómez A (2020). COVID-19 infodemic: More retweets for science-based information on coronavirus than for false information. International Sociology, 35(0268580920914755), 377-392. DOI: 10.1177/0268580920914755

DOI del artículo: 10.1177/0268580920914755

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2020

Tipo de publicación: Journal Publications