Understanding the intent behind information is crucial. However, news as a medium of public discourse still lacks a structured investigation of perceived news intent and its application. To advance this field, this paper reviews interdisciplinary studies on intentional action and introduces a conceptual deconstruction-based news intent understanding framework (NINT). This framework identifies the components of intent, facilitating a structured representation of news intent and its applications. Building upon NINT, we contribute a new intent perception dataset. Moreover, we investigate the potential of intent assistance on news-related tasks, such as significant improvement (+2.2% macF1) in the task of fake news detection. We hope that our findings will provide valuable insights into action-based intent cognition and computational social science.
@article{arxiv.2312.16490,
title = {Exploring news intent and its application: A theory-driven approach},
author = {Zhengjia Wang and Danding Wang and Qiang Sheng and Juan Cao and Siyuan Ma and Haonan Cheng},
journal= {arXiv preprint arXiv:2312.16490},
year = {2025}
}
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Accepted to Information Processing & Management. DOI: https://doi.org/10.1016/j.ipm.2025.104229