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  4. Analysis of science journalism reveals gender and regional disparities in coverage
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Analysis of science journalism reveals gender and regional disparities in coverage

Publication type
journal article
Publication date
2024
Author(s)
Davidson, Natalie R.
Greene, Casey S.
Language
English
Keywords

Female

Humans

Male

Sexism

Sex Factors

Science

Authorship

Bibliometrics

Periodicals as Topic

Journalism

Gender Disparity

Computational Biology...

System Biology

Natural Language Proc...

Science Journalism

Name Origin Disparity...

Web Scraping

View point(s)
Global
Discipline(s)

Biology

Abstract
Science journalism is a critical way for the public to learn about and benefit from scientific findings. Such journalism shapes the public's view of the current state of science and legitimizes experts. Journalists can only cite and quote a limited number of sources, who they may discover in their research, including recommendations by other scientists. Biases in either process may influence who is identified and ultimately included as a source. To examine potential biases in science journalism, we analyzed 22,001 non-research articles published by Nature and compared these with Nature-published research articles with respect to predicted gender and name origin. We extracted cited authors' names and those of quoted speakers. While citations and quotations within a piece do not reflect the entire information-gathering process, they can provide insight into the demographics of visible sources. We then predicted gender and name origin of the cited authors and speakers. We compared articles with a comparator set made up of first and last authors within primary research articles in Nature and a subset of Springer Nature articles in the same time period. In our analysis, we found a skew toward quoting men in Nature science journalism. However, quotation is trending toward equal representation at a faster rate than authorship rates in academic publishing. Gender disparity in Nature quotes was dependent on the article type. We found a significant over-representation of names with predicted Celtic/English origin and under-representation of names with a predicted East Asian origin in both in extracted quotes and journal citations but dampened in citations.
Journal
eLife
ISSN
2050-084X
DOI
10.7554/eLife.84855
Volume
12
Pagination
RP84855
URL
http://www.ncbi.nlm.nih.gov/pubmed/38804191
https://libkey.io/libraries/2561/articles/617856229/full-text-file?utm_source=api_2667&allow_speedbump=true
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