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The study aims to quantify biases in science journalism and their impact on credibility and perception.

A quantitative approach to estimating bias, favoritism and distortion in scientific journalism

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The study aims to quantify biases in science journalism and their impact on credibility and perception.
Analyzed media coverage from Wired, Quanta, and New Scientist over 5-10 years.
Examined patterns in mention distributions and title-level linguistic features.
Assessed topical emphasis to identify uneven visibility of scientists across outlets.
Found concentrated visibility of certain scientists and topics in the coverage.
Identified personality-driven patterns in how science is reported.
Confirmed that media narratives influence perceptions of credibility in science journalism.

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Quantitative analysis reveals bias in media coverage of scientific topics and researchers, highlighting implications for public perception.

Koushik et al. (2026) studied this question.

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Quantitative analysis reveals bias in media coverage of scientific topics and researchers, highlighting implications for public perception.