TY - JOUR
T1 - Health Journalists’ Social Media Sourcing During the Early Outbreak of the Public Health Emergency
AU - Zhang, Xinzhi
AU - Zhu, Rui
N1 - Funding Information:
This work is supported by the General Research Fund (GRF) from the Research Grants Council (RGC) of the Hong Kong SAR (no. 12602420) granted to the first author. The authors also appreciate the help from Bingyang Chu, Ziqian Wang, and Yixue Wang.
Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/8/22
Y1 - 2022/8/22
N2 - Although journalists’ social media sourcing can empower non-elite sources and diversify public discussions, counterarguments maintain that social media sourcing relies on a small group of elites and reinforces social division. To contribute to that debate, we examined how health journalists from the mainstream news organizations in the U.S. used Twitter’s @mention for sourcing during the first three months of the COVID-19 outbreak. Using a sample of public Twitter posts published by the journalists, we formed co-@mentioned networks (i.e., two sources were connected if @mentioned in the same post) to examine the structure of the networks and identify important sourcing informants. Among the results, elite sources (e.g., health journalists and health experts in the public sector) and influential users (i.e., verified users with a large number of followers and who post frequently) dominated the sourcing repertoire. Moreover, the networks were fragmented because the sources were clustered into several close-knit subgroups. Analyzing exponential random graph models to examine the formation mechanism of the networks revealed that, as the pandemic’s severity increased, influential users played a more salient role in the sourcing repertoire, and a homogeneous cluster consisting of journalists and news organizations emerged.
AB - Although journalists’ social media sourcing can empower non-elite sources and diversify public discussions, counterarguments maintain that social media sourcing relies on a small group of elites and reinforces social division. To contribute to that debate, we examined how health journalists from the mainstream news organizations in the U.S. used Twitter’s @mention for sourcing during the first three months of the COVID-19 outbreak. Using a sample of public Twitter posts published by the journalists, we formed co-@mentioned networks (i.e., two sources were connected if @mentioned in the same post) to examine the structure of the networks and identify important sourcing informants. Among the results, elite sources (e.g., health journalists and health experts in the public sector) and influential users (i.e., verified users with a large number of followers and who post frequently) dominated the sourcing repertoire. Moreover, the networks were fragmented because the sources were clustered into several close-knit subgroups. Analyzing exponential random graph models to examine the formation mechanism of the networks revealed that, as the pandemic’s severity increased, influential users played a more salient role in the sourcing repertoire, and a homogeneous cluster consisting of journalists and news organizations emerged.
KW - computational journalism
KW - computational social science
KW - health reporting
KW - news sourcing
KW - social media
KW - social network analysis
UR - http://www.scopus.com/inward/record.url?scp=85136470870&partnerID=8YFLogxK
U2 - 10.1080/17512786.2022.2110927
DO - 10.1080/17512786.2022.2110927
M3 - Journal article
AN - SCOPUS:85136470870
SN - 1751-2786
VL - 18
SP - 1660
EP - 1680
JO - Journalism Practice
JF - Journalism Practice
IS - 7
ER -