The way media reports on legal cases can significantly shape public opinion, often embedding subtle biases that influence societal views on justice and morality. Analyzing these biases requires a holistic approach that captures the emotional tone, moral framing, and specific events within the narratives. In this work we introduce E2MoCase, a novel dataset designed to facilitate the integrated analysis of emotions, moral values, and events within legal narratives and media coverage. By leveraging advanced models for emotion detection, moral value identification, and event extraction, E2MoCase offers a multi-dimensional perspective on how legal cases are portrayed in news articles.

翻译：媒体报道法律案件的方式能够显著塑造公众舆论，通常隐含着影响社会对正义与道德看法的微妙偏见。分析这些偏见需要一种整体性方法，以捕捉叙事中的情感基调、道德框架及具体事件。本工作提出了E2MoCase，这是一个新颖的数据集，旨在促进对法律叙事与媒体报道中情感、道德价值和事件的整合分析。通过利用情感检测、道德价值识别和事件提取的先进模型，E2MoCase为法律案件在新闻报道中的呈现方式提供了多维度的视角。