ArticleNature human behaviour2025
Gender rating gap in online reviews.
Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although online reviews are used by many people to make decisions, these reviews may be biased. On the basis of 1.2 billion observations across five leading online review platforms and two lab studies (n = 1,172 and n = 1,165; US respondents fluent in English), we provide evidence for a consistent and systematic gender rating gap: women's mean online review ratings are significantly more favourable than men's. We suggest that although men and women, on average, generally do not differ in their 'real' attitudes, their ratings do differ when it comes to online reviews. Our lab studies revealed that such differences are due to gender differences in the propensity to share negative attitudes online, possibly due to women's greater concern about social consequences. Our findings highlight the need for societal change to create conditions in which people, particularly women, feel comfortable publicly expressing genuine attitudes, especially in cases of dissatisfaction, without being concerned about the consequences.
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39375542What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.