Scientific journalism is a critical way in which the public can remain
informed and benefit from new scientific findings. Such journalism also
shapes the public’s view of the current state of scientific findings and
legitimizes experts. Those covering science can only cite and quote a
limited number of sources. Sources may be identified by the journalist’s
research or by recommendations by other scientists. In both cases, biases
may influence who is identified and ultimately included as an expert. We
analyzed 22,001 non-research articles published by *Nature* to quantify
possible disparities. Our analysis considered three possible sources of
disparity: gender, name origin, and country affiliation. To explore these
sources of disparity, we extracted cited authors’ names and affiliations,
as well as extracted names 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 used the extracted names to predict gender and name origin of the
cited authors and speakers.

In order to appropriately quantify the level of difference, we must
identify a suitable reference set for comparison. We chose first and last
authors within primary research articles in *Nature* and a subset of *Springer
Nature* articles in the same time period as our comparator. In our
analysis, we found a skew towards male quotation in *Nature* journalism-related
articles, but quotation is trending toward equal representation at a faster
rate than first and last authorship in academic publishing. Interestingly,
we found that the gender disparity in quotes was column-dependent, with the
“Career Features” column reaching gender parity. Our name origin analysis
found a significant over-representation of names with predicted
Celtic/English origin and under-representation of names with a predicted
East Asian origin. This finding was observed both in extracted quotes and
journal citations, but dampened in citations. Finally, we performed an
analysis to identify how countries vary in the way that they’re described
in scientific journalism.

We focused on two groups of countries: countries that are often mentioned
in articles, but do not often have affiliated authors cited, and countries
that have affiliated authors that are often cited, but the country is not
typically mentioned. We found that the articles in which the less cited
countries occur tend to have more agricultural, extraction-related, and
political terms, whereas articles including highly cited countries have
broader scientific terms. This discrepancy indicates a possible lack of
regional diversity in the reporting of scientific output. KR IRS 27123

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