Arbeitspapier

The critical role of social leaders in the spread of social movements against gender-based violence on Twitter

This paper asks how social movements against gender-based violence (GBV) spread on Twitter. To this end, I construct a novel dataset measuring 10 large social movements against GBV on Twitter. I show that these movements start suddenly and fade out quickly and that there is considerable variation at the sub-national level in the US. Twitter users are more likely to share content created by other users instead of creating original content. Text mining the text of tweets reveals that polarization is low and that most users express fear and sadness. Neither polarized nor emotional content does generate more traction in form of likes, retweets, replies or quotes. I develop a novel instrumental variable strategy and show that Twitter users with an established network play a major role in the spread of tweets. An analysis of users' profile pictures and names reveals low social inclusiveness of these movements. Users are on average female, young, and White. Tweets posted by non-white users generate less traction. Moreover, women are more prone to reference content by women, while the reverse applies to men.

Language
Englisch

Bibliographic citation
Series: ifo Working Paper ; No. 383

Classification
Wirtschaft
Economics of Gender; Non-labor Discrimination
Demographic Economics: Public Policy
Social Choice; Clubs; Committees; Associations
Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
Subject
Economics of gender
non-labor discrimination
demographic economics
public policy
social choice
clubs
committees
associations
economic sociology

Event
Geistige Schöpfung
(who)
Rude, Britta
Event
Veröffentlichung
(who)
ifo Institute - Leibniz Institute for Economic Research at the University of Munich
(where)
Munich
(when)
2022

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Rude, Britta
  • ifo Institute - Leibniz Institute for Economic Research at the University of Munich

Time of origin

  • 2022

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