2025 EMNLP EMNLP 2025

Investigating Controversy Framing across Topics on Social Media

Abstract

AbstractControversial discourse is abundant on social media. Understanding how controversial problems are framed in online discourse is crucial for gaining insights into public opinion formation and for addressing misinformation and polarization. This paper presents a novel method for discovering and articulating framing of controversial problems, enabling the investigation of how controversy is framed across several diverse topics. The promising results, made possible by recent advances in Large Language Models, indicate that discovering framings across topics is feasible. The discovered frames offer valuable insights into how and why controversial problems are discussed on social media.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio