Gender and Prestige Bias in Coronavirus News Reporting
- URL: http://arxiv.org/abs/2301.11994v1
- Date: Fri, 27 Jan 2023 21:18:09 GMT
- Title: Gender and Prestige Bias in Coronavirus News Reporting
- Authors: Rebecca Dorn, Yiwen Ma, Fred Morstatter, Kristina Lerman
- Abstract summary: We identify when experts are quoted in news and extract their names and institutional affiliations.
We find a substantial gender gap, where men are quoted three times more than women.
We also identify academic prestige bias, where journalists turn to experts from highly-ranked academic institutions more than experts from less prestigious institutions.
- Score: 6.646098685534984
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Journalists play a vital role in surfacing issues of societal importance, but
their choices of what to highlight and who to interview are influenced by
societal biases. In this work, we use natural language processing tools to
measure these biases in a large corpus of news articles about the Covid-19
pandemic. Specifically, we identify when experts are quoted in news and extract
their names and institutional affiliations. We enrich the data by classifying
each expert's gender, the type of organization they belong to, and for academic
institutions, their ranking. Our analysis reveals disparities in the
representation of experts in news. We find a substantial gender gap, where men
are quoted three times more than women. The gender gap varies by partisanship
of the news source, with conservative media exhibiting greater gender bias. We
also identify academic prestige bias, where journalists turn to experts from
highly-ranked academic institutions more than experts from less prestigious
institutions, even if the latter group has more public health expertise.
Liberal news sources exhibit slightly more prestige bias than conservative
sources. Equality of representation is essential to enable voices from all
groups to be heard. By auditing bias, our methods help identify blind spots in
news coverage.
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