Problem
Research questions and friction points this paper is trying to address.
news stance detection
visual framing
implicit stance cues
Visual Framing for News Stance Detection via Image Generation
🤖 AI Summary
该研究通过图像生成技术（VFStance）来明确新闻文章中的隐含立场，解决了新闻文章因结构复杂导致的立场检测难题。
📝 Abstract
Article-level news stance detection aims to identify the perspective of news articles toward social issues. Despite advances in stance detection and its importance for trustworthy media environments, news articles pose distinct challenges because their stances are often implicit, subtly conveyed through journalistic framing, and embedded in long, structurally complex texts. To address these challenges, we introduce VFStance, which leverages visual framing to make implicit stance cues more explicit via image generation. In evaluation experiments, we demonstrate the effectiveness of VFStance over existing methods and the contribution of visual framing to its performance. Finally, a controlled user study (N=200) in a snippet-based news consumption setting further demonstrates that VFStance can make stance signals visually salient and highlights its potential use beyond automated stance detection.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Visual Framing
Image Generation
News Stance Detection
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