Automated Content Regulation (disinformation and political bias)
Focus Area(s): News & Media
Research Program: Data
This project will evaluate the moderation of social media content, which has become radically more reliant on machine learning classifiers during the Covid-19 pandemic. We examine moderation at this time through two case studies, which aim to: 1. Test allegations of political bias in the removal of tweets, and 2.
Identify coordinated bot activity involved in spreading misinformation and the moderation responses of platforms.Ultimately, this project will provide new knowledge about particular case studies, import insights into trends across cases and time, and new methodological techniques for assessing automated content moderation on social media platforms.