The posters featured findings from two papers:
"Online Misogyny Against Female Candidates in the 2022 Brazilian Elections: A Threat to Women's Political Representation?"
This large-scale analysis of 10 million tweets directed at female candidates in Brazil’s 2022 elections examines the prevalence and political effects of online misogyny, using machine learning methods to detect and quantify abusive language."Technology-Facilitated Violence and Political Participation: Evidence from a Mixed-Methods Study in Brazil"
Drawing on original survey and interview data, this study explores how online abuse affects political participation, mental well-being, and democratic engagement among male and female politically active individuals in Brazil.
Jointly, these papers contribute to a growing body of work that seeks to understand and address the impact of online abuse on democratic processes and gender equity, with a specific focus on the Brazilian context. The workshop provided a valuable opportunity to discuss computational, legal, and policy approaches to tackling digital violence in a global context.
You can browse the workshop programme on the organisers website.
Both posters present results from this research paper.
The work is part of the research project “Understanding, Detecting, and Mitigating Online Misogyny against Politically Active Women”, which is funded by the Bavarian Research Institute for Digital Transformation (bidt).