Record Details

Face Mask Perception Scale Attitudes in U.S. Covid-19 News

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Face Mask Perception Scale Attitudes in U.S. Covid-19 News
 
Identifier https://doi.org/10.7910/DVN/X1KKAB
 
Creator Rabb, Nicholas
 
Publisher Harvard Dataverse
 
Description This data set aggregates mainstream U.S. media news articles and opinion show transcripts concerning Covid-19 mask-wearing between April 6 and June 8, 2020. Additionally, for several paragraphs of the news articles, it includes crowd-sourced annotation of the statements according to 14 mask-wearing attitude questions taken from Howard 2020's Face Mask Perception Scale (FMPS). Each annotated paragraph thus contains 14 labels (e.g., for "Does the text presented convey the idea that it is difficult to breathe while wearing a face mask?" options include 0 (it is difficult), 1 (it is not difficult), and 2 (does not mention)) with a confidence score ranging from 0-6 for each label.

In total, this data set contains 2,361 news articles from eight sources (Daily Kos, Vox, New York Times, Fox, Breitbart, Tucker Carlson, Laura Ingraham, Sean Hannity), including article title, publication date, source, and raw text. Another file of the 8,473 paragraphs contained in all the articles is included with unique paragraph IDs. A separate file of crowd-sourced annotations is also included where labels are given for certain paragraph IDs, and contains 7,559 total annotations across 297 paragraphs and 202 articles.

Instructions for how to load the data, as well as filter the annotations for high-quality versions (where there is high confidence or inner-annotator agreement), can be found at https://github.com/ricknabb/media-ideology-coding.
 
Subject Computer and Information Science
Social Sciences
Covid-19
Media
Crowdsourced annotation
 
Date 2024-03-04
 
Contributor Rabb, Nicholas