TY - JOUR
T1 - Sourcing Pandemic News
T2 - A Cross-National Computational Analysis of Mainstream Media Coverage of COVID-19 on Facebook, Twitter, and Instagram
AU - Mellado, Claudia
AU - Hallin, Daniel
AU - Cárcamo, Luis
AU - Alfaro, Rodrigo
AU - Jackson, Daniel
AU - Humanes, María Luisa
AU - Márquez-Ramírez, Mireya
AU - Mick, Jacques
AU - Mothes, Cornelia
AU - I-Hsuan LIN, Christi
AU - Lee, Misook
AU - Alfaro, Amaranta
AU - Isbej, Jose
AU - Ramos, Andrés
N1 - Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2021
Y1 - 2021
N2 - This article explores the uses of sources in coverage of the COVID-19 pandemic in social media posts of mainstream news organizations in Brazil, Chile, Germany, Mexico, Spain, the U.K., and the U.S. Based on computational content analysis, our study analyzes the sources and actors present in more than 940,000 posts on COVID-19 published in the 227 Facebook, Instagram, and Twitter accounts of 78 sampled news outlets between January 1 and December 31 of 2020, comparing their relative importance across countries, across media platforms, and across time as the pandemic evolved in each country. The analysis shows the dominance of political sources across countries and platforms, particularly in Latin America, demonstrating a strong role of the state in constructing pandemic news and suggesting that mainstream news organizations' social media posts maintain a strong elite orientation. Health sources were also prominent — consistent with the defining role of biomedical authority in health coverage—, while significant diversity of sources, including citizen sources, emerged as the pandemic went on. Our results also revealed that the use of specific sources significantly varied over time. These variations tend to go hand in hand with specific global milestones of the pandemic.
AB - This article explores the uses of sources in coverage of the COVID-19 pandemic in social media posts of mainstream news organizations in Brazil, Chile, Germany, Mexico, Spain, the U.K., and the U.S. Based on computational content analysis, our study analyzes the sources and actors present in more than 940,000 posts on COVID-19 published in the 227 Facebook, Instagram, and Twitter accounts of 78 sampled news outlets between January 1 and December 31 of 2020, comparing their relative importance across countries, across media platforms, and across time as the pandemic evolved in each country. The analysis shows the dominance of political sources across countries and platforms, particularly in Latin America, demonstrating a strong role of the state in constructing pandemic news and suggesting that mainstream news organizations' social media posts maintain a strong elite orientation. Health sources were also prominent — consistent with the defining role of biomedical authority in health coverage—, while significant diversity of sources, including citizen sources, emerged as the pandemic went on. Our results also revealed that the use of specific sources significantly varied over time. These variations tend to go hand in hand with specific global milestones of the pandemic.
KW - COVID-19
KW - Facebook
KW - Instagram
KW - Twitter
KW - comparative research
KW - computational analysis
KW - journalism
KW - news
KW - social media
KW - sources
UR - http://www.scopus.com/inward/record.url?scp=85110667888&partnerID=8YFLogxK
U2 - 10.1080/21670811.2021.1942114
DO - 10.1080/21670811.2021.1942114
M3 - Article
AN - SCOPUS:85110667888
SN - 2167-0811
VL - 9
SP - 1271
EP - 1295
JO - Digital Journalism
JF - Digital Journalism
IS - 9
ER -