4 papers
Measuring Social Media Polarization Using Large Language Models and Heuristic Rules
Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
Understanding affective polarization in online discourse is crucial for evaluating the societal impact of social media interactions. This study presents a novel framework that leve…
From Observations to Causations: A GNN-based Probabilistic Prediction Framework for Causal Discovery
Rezaur Rashid, Gabriel Terejanu
Causal discovery from observational data is challenging, especially with large datasets and complex relationships. Traditional methods often struggle with scalability and capturing…
Quantifying Influencer Impact on Affective Polarization
Rezaur Rashid, Joshua Melton, Ouldouz Ghorbani +3
In today's digital age, social media platforms play a crucial role in shaping public opinion. This study explores how discussions led by influencers on Twitter, now known as 'X', a…
Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks
Joshua Melton, Shannon Reid, Gabriel Terejanu +1
The high volume and rapid evolution of content on social media present major challenges for studying the stance of social media users. In this work, we develop a two stage stance l…