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When Fame Does Not Matter? Examining Gender Differences in Politicians’ Social Media Experiences

Lookup NU author(s): Dr Maarja LuhisteORCiD, Dr Sebastian PopaORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Past research alerts to the increasingly unpleasant climate surrounding public debate on social media. Female politicians, in particular, are reporting serious attacks targeted at them. Yet, research offers inconclusive insights regarding the gender gap in online incivility. This paper aims to unravel the dynamics of gender-based attacks on social media by comparing politicians with varying levels of prominence and public status in different institutional contexts. Using a machine learning approach for analyzing over 23 million tweets addressed to candidates and legislators in Germany, Spain, the United Kingdom, and the United States, we find little consistent evidence of a gender gap in the proportion of incivility. However, more prominent politicians are considerably and consistently more likely than others to receive uncivil attacks. While prominence influences US male and female politicians' probability to receive uncivil tweets the same way, women in our European sample receive incivility regardless of their status. Most importantly, the incivility varies in quality and across contexts, with women, especially in more plurality contexts, receiving more identity-based attacks than other politicians in our sample.


Publication metadata

Author(s): Lühiste M, Praet S, Popa S, Theocharis Y, Barbera P, Fazekas Z, Tucker J

Publication type: Article

Publication status: Published

Journal: Politics & Gender

Year: 2025

Pages: Epub ahead of print

Online publication date: 30/07/2025

Acceptance date: 02/06/2025

Date deposited: 04/03/2025

ISSN (print): 1743-923X

ISSN (electronic): 1743-9248

Publisher: Cambridge University Press

URL: https://doi.org/10.1017/S1743923X25100111

DOI: 10.1017/S1743923X25100111

ePrints DOI: 10.57711/28kx-x203


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