Socioeconomic status (SES) structures social inequality and underlies class-based discrimination that is often rationalised through stereotypes expressed in public discourse. However, despite extensive research on hate speech detection in Natural …
Detecting misinformation threads is crucial to guarantee a healthy environment on social media. We address the problem using the data set created during the COVID-19 pandemic. It contains cascades of tweets discussing information weakly labeled as …
Innovative Demographically-aware Hate Speech Detection in Online Media in Italian
Twitter data have become essential to Natural Language Processing (NLP) and social science research, driving various scientific discoveries in recent years. However, the textual data alone are often not enough to conduct studies: especially, social …
Measuring, Tracking, and Analyzing Inequality using Social Media
Devising Metrics for Assessing Echo Chambers, Incivility, and Intolerance on Twitter