07/06/2021

COVID-19 Coverage By Cable and Broadcast Networks

Ceren Budak, Ashley Muddiman, Yujin Kim, Caroline C. Murray, Natalie J. Stroud

Keywords: Analysis of the relationship between social media and mainstream media, Subjectivity in textual data, sentiment analysis, polarity/opinion identification and extraction, linguistic analyses of social media behavior

Abstract: In this paper, we present a dataset of COVID-19 coverage by cable and broadcast news networks. Our dataset, which spans the time period between January 21, 2020 and June 12, 2020, includes 44,643 transcript paragraphs that are manually labeled according to their relevance to COVID-19 and 486,068 paragraphs that are further labeled using supervised classifiers. We further provide descriptive analysis that shows differences in the degree to which networks covered the pandemic and how the content of this coverage varied. Our distinctive phrase analysis also suggests that cable news networks, particularly Fox News and MSNBC, are politicizing COVID-19. This dataset can be leveraged to model and characterize the role cable and broadcast news networks play in shaping COVID-19 attitudes and behaviors, as well as how the coverage was related to external events (e.g. the number of COVID-19 cases), coverage in other media (e.g. newspapers), and COVID-19 conversations on social media (e.g. Twitter). The COVID-19 cable and broadcast news dataset is publicly available to the research community, and can be accessed at https://doi.org/10.7910/DVN/LWMYAD.

 0
 0
 0
 0
This is an embedded video. Talk and the respective paper are published at ICWSM 2021 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers