E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913499326709760 |
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| author | Greco, Candida M. Zangari, Lorenzo Picca, Davide Tagarelli, Andrea |
| author_facet | Greco, Candida M. Zangari, Lorenzo Picca, Davide Tagarelli, Andrea |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_09001 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases Greco, Candida M. Zangari, Lorenzo Picca, Davide Tagarelli, Andrea Computation and Language Artificial Intelligence Computers and Society Digital Libraries Physics and Society 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. |
| title | E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases |
| topic | Computation and Language Artificial Intelligence Computers and Society Digital Libraries Physics and Society |
| url | https://arxiv.org/abs/2409.09001 |