Exploring news intent and its application: A theory-driven approach
December 27, 2023 ยท Declared Dead ยท ๐ Information Processing & Management
"No code URL or promise found in abstract"
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Authors
Zhengjia Wang, Danding Wang, Qiang Sheng, Juan Cao, Siyuan Ma, Haonan Cheng
arXiv ID
2312.16490
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.CY
Citations
7
Venue
Information Processing & Management
Last Checked
5 months ago
Abstract
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.
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