E2MoCase：影响重大的法律案件新闻报道中的情感、事件和道德观察数据集

arXiv - PHYS - Physics and Society Pub Date : 2024-09-13 DOI:arxiv-2409.09001

Candida M. Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli

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引用次数: 0

摘要

媒体报道法律案件的方式会对公众舆论产生重大影响，其中往往蕴含着微妙的偏见，影响着社会对正义和道德的看法。分析这些偏见需要一种整体方法，以捕捉叙述中的情感基调、道德框架和具体事件。在这项工作中，我们介绍了 E2MoCase，这是一个新颖的数据集，旨在促进对法律叙事和媒体报道中的情感、道德价值观和事件进行综合分析。通过利用先进的情感检测、道德价值识别和事件提取模型，E2MoCase 提供了一个多维度的视角，让人们了解新闻报道中是如何描述法律案件的。

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E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases

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.

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arXiv - PHYS - Physics and Society

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