Candida M. Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli
{"title":"E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases","authors":"Candida M. Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli","doi":"arxiv-2409.09001","DOIUrl":null,"url":null,"abstract":"The way media reports on legal cases can significantly shape public opinion,\noften embedding subtle biases that influence societal views on justice and\nmorality. Analyzing these biases requires a holistic approach that captures the\nemotional tone, moral framing, and specific events within the narratives. In\nthis work we introduce E2MoCase, a novel dataset designed to facilitate the\nintegrated analysis of emotions, moral values, and events within legal\nnarratives and media coverage. By leveraging advanced models for emotion\ndetection, moral value identification, and event extraction, E2MoCase offers a\nmulti-dimensional perspective on how legal cases are portrayed in news\narticles.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.09001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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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