Congratulations! VIPL's paper on evaluating cognitive-behavioral fixation is accepted by EMNLP 2025(The 2025 Conference on Empirical Methods in Natural Language Processing)! EMNLP is a top conference on computational linguistics and natural language processing. This year, EMNLP will be held in Suzhou, China from November 5th to November 9th.
The accepted paper is summarized as follows:
Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media (Yujie Wang, Yunwei Zhao, Jing Yang, Han Han, Shiguang Shan, Jie Zhang) (main conference)
Digital social media platforms frequently contribute to cognitive-behavioral fixation, a phenomenon in which users exhibit sustained and repetitive engagement with narrow content domains. While cognitive-behavioral fixation has been extensively studied in psychology, methods for computationally detecting and evaluating such fixation remain underexplored. To address this gap, we propose a novel framework for assessing cognitive-behavioral fixation by analyzing users' multimodal social media engagement patterns. Specifically, we introduce a multimodal topic extraction module and a cognitive-behavioral fixation quantification module that collaboratively enable adaptive, hierarchical, and interpretable assessment of user behavior. Experiments on existing benchmarks and a newly curated multimodal dataset demonstrate the effectiveness of our approach, laying the groundwork for scalable computational analysis of cognitive fixation. All code in this project is publicly available for research purposes at https://github.com/Liskie/cognitive-fixation-evaluation.
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