标题： 通过社交媒体上的多模式用户观看模式评估认知行为固定化 显示英文标题

标题： Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media

摘要： 数字社交媒体平台经常导致认知行为固化，这是一种现象，用户在狭窄的内容领域中表现出持续和重复的参与。 尽管认知行为固化在心理学中已被广泛研究，但用于计算检测和评估这种固化的方法仍较少被探索。 为解决这一差距，我们提出了一种新框架，通过分析用户的多模态社交媒体参与模式来评估认知行为固化。 具体而言，我们引入了一个多模态主题提取模块和一个认知行为固化量化模块，它们协同工作，实现对用户行为的自适应、分层和可解释的评估。 在现有基准和一个新整理的多模态数据集上的实验表明了我们方法的有效性，为认知固化的可扩展计算分析奠定了基础。 本项目的所有代码均可公开用于研究目的，网址为 https://github.com/Liskie/cognitive-fixation-evaluation。 显示英文摘要

摘要： 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.