From developing counter-speech strategies to tackle online hate to exploring how data management can improve social interactions, this episode explores how data can offer positive alternatives to moderation and counters to hate speech in online spheres.
In this episode, Professor Jana Lasser outlines the functionality and importance of such efforts from a data analysis perspective and provides a deeper understanding of the intersection between data science and social issues.
For the 35th episode of the Arqus Knowledge Pills, Jana discusses the work she has done to develop countermeasures to hate speech in online spaces. Social media platforms are constantly changing, and she offers some insight into possible solutions.
https://open.spotify.com/episode/7x8Fm3ckAUK3rqWmJWNZGH?si=JtA24NNxSrGkOFbRviA3_A
Learn more about Jana Lasser:
Jana Lasser is a Professor of Data Analysis at the University of Graz where she leads the research group of Complex Social and Computational Systems at the interdisciplinary research centre IDea_Lab. She researches emergent phenomena in complex social systems, employing methods from machine learning, data science, natural language processing, and computational and statistical modelling to understand how humans behave in socio-technical environments. Her current research interests include the effectiveness of counter-speech strategies, the spread of misinformation on social media platforms, and the impact of social media content recommendation algorithms on societal outcomes.
The episodes of the “Arqus Knowledge Pills” are published regularly and can be subscribed to on Spotify and other platforms (see below).