Exploring news intent and its application: A theory-driven approach

December 27, 2023 ยท Declared Dead ยท ๐Ÿ› Information Processing & Management

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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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