#3580. Gendered Tweets: Computational Text Analysis of Gender Differences in Political Discussion on Twitter

October 2026publication date
Proposal available till 01-06-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
Anthropology;
Sociology and Political Science;
Education;
Social Psychology;
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Abstract:
Politics is an area that is traditionally believed to be gender divided. Moreover, the internet and social media, which creates a computer-mediated interactive context, might also impact the traditional gender discrepancies in political discourse. This study used Twitter trace-data and computational text analysis to examine such suppositions. By analyzing over one million tweets, we found that compared to men, women generally had a stronger sense of group awareness and cohesion and showed a desire to promote their tweets while avoiding addressing other users in political discussions. These findings suggest that Twitter is not an ideal public sphere where differences and inequalities are eliminated, but it might be a counter-public sphere that promotes the voices and increases the publicity of marginalized groups.
Keywords:
big data; computational methods; gender; intergroup communication; political discourse; public sphere; text analysis; Twitter

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