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Estimating social bias in data sharing behaviours: an open science experiment

Sociology

Estimating social bias in data sharing behaviours: an open science experiment

C. Acciai, J. W. Schneider, et al.

Explore the intriguing dynamics of ethnic, gender, and status biases in data-sharing willingness among scientists. This research conducted by Claudia Acciai, Jesper W. Schneider, and Mathias W. Nielsen reveals unexpected disparities in responsiveness towards data requests based on perceived ethnicity, shedding light on underlying stereotypes that may obstruct scientific collaboration.

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Playback language: English
Abstract
This preregistered, randomized audit experiment (N=1,634) investigated ethnic, gender, and status biases in scientists' data-sharing willingness. While preregistered hypotheses on bias were not confirmed, lower response rates were observed for data requests from putatively Chinese treatments compared to Anglo-Saxon treatments. Further analysis revealed heterogeneity in the causal effect of ethnicity, with lower responsiveness and data-sharing willingness towards male, but not female, data requestors with Chinese names. These disparities, likely stemming from stereotypes about trustworthiness and deservingness, hinder scientific progress.
Publisher
Scientific Data
Published On
Apr 21, 2023
Authors
Claudia Acciai, Jesper W. Schneider, Mathias W. Nielsen
Tags
data sharing
bias
ethnicity
gender
scientific progress
trustworthiness

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