6 papers
Agent-Guided Evidence Acquisition for Emotion-Cause Pair Extraction
Zhuangzhuang Pan, Yan Xia, Chee Seng Chan
Emotion-Cause Pair Extraction (ECPE) requires identifying the causes associated with emotions expressed in a conversation. Accurate extraction can depend on evidence that is not in…
AI-Powered Browsers Are Broadly Accurate News Summarizers That Reduce Political Bias and Negative Affect
Yan Xia, Dominik Batorski, Erin Wertz +3
Web browsers now provide AI-generated news summaries for millions of users. Despite their popularity and influence, we lack a systematic understanding of how these systems transfor…
Learning Robust Pair Confidence for Multimodal Emotion-Cause Pair Extraction
Zhuangzhuang Pan, Ning Dong, Yingna Su +1
Multimodal emotion-cause pair extraction (MECPE) requires reliable pair confidence over candidate pairs. Existing pair scorers commonly use pair-level cross entropy over valid cand…
They Are Not the Same: Direct Causes Are Not Grounded Emotion Explanations
Zhuangzhuang Pan, Yan Xia, Chee Seng Chan
Emotion-Cause Pair Extraction (ECPE) was introduced to explain why an emotion occurs, but this goal is now often reduced to binary pair/non-pair prediction. This proxy is useful fo…
Balancing Openness and Safety: Central and Peripheral Governance Practices in the Lesbian Subreddit Ecosystem
Yan Xia, Sushmita Khan, Naiyah Lewis +1
Online LGBTQ+ communities face a persistent tension: remaining visible to welcome newcomers while protecting members from harassment. This challenge is particularly acute for lesbi…
Integrated or Segregated? User Behavior Change after Cross-Party Interactions on Reddit
Yan Xia, Corrado Monti, Barbara Keller +1
It has been a widely shared concern that social media reinforces echo chambers of like-minded users and exacerbate political polarization. While fostering interactions across party…