PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media
Current emotion analysis in social media is predominantly author-centric, failing to capture the subjective nature of emotional responses across diverse readers. This paradigm overlooks the crucial link between individual perception, communication behavior, and the underlying social network. To bridge this gap, we introduce PERCEIVE, a novel bilingual (English and Chinese) large-scale benchmark that, to the best of our knowledge, is the first to integrate five critical dimensions for social perception: author-created content, genuine readers' emotional feedback (derived from their comments), communication behavior, user attributes, and the social graph. This benchmark enables a paradigm s...
| Authors | Jian Liao, Yujin Zheng, Suge Wang et al. |
|---|---|
| Primary category | cs.SI |
| Published | 10 April 2026 |
| Last updated at source | 10 April 2026 |
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