E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases
<|reference_start|>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.<|reference_end|>
@article{greco2024e2mocase:,
    title={E2MoCase: A Dataset for Emotional, Event and Moral Observations in News
  Articles on High-impact Legal Cases},
    author={Candida M. Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli},
    journal={arXiv preprint arXiv:2409.09001},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.09001},
    primaryClass={cs.CL cs.AI cs.CY cs.DL physics.soc-ph}
}