Exploring Gender-Based Toxic Speech on Twitter in Context of the #MeToo movement: A Mixed Methods Approach
Sayak Saha Roy, Ohad Gilbar, Christina Palantza, Maxine Davis, Shirin, Nilizadeh

TL;DR
This study investigates how the #MeToo movement influenced gender-based hostility on Twitter, revealing increased negative discourse and identifying underlying themes through mixed methods analysis of tweets from 2017 to 2020.
Contribution
It provides a comprehensive mixed methods analysis of gender-based hostility on Twitter related to #MeToo, highlighting the movement's complex social impact.
Findings
Increase in gender-based hostility since #MeToo began
Identification of themes driving negative discourse
Amplification of hostility during key #MeToo events
Abstract
The #MeToo movement has catalyzed widespread public discourse surrounding sexual harassment and assault, empowering survivors to share their stories and holding perpetrators accountable. While the movement has had a substantial and largely positive influence, this study aims to examine the potential negative consequences in the form of increased hostility against women and men on the social media platform Twitter. By analyzing tweets shared between October 2017 and January 2020 by more than 47.1k individuals who had either disclosed their own sexual abuse experiences on Twitter or engaged in discussions about the movement, we identify the overall increase in gender-based hostility towards both women and men since the start of the movement. We also monitor 16 pivotal real-life events that shaped the #MeToo movement to identify how these events may have amplified negative discussions…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Gender, Feminism, and Media · Sexual Assault and Victimization Studies
