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

A News INTent (NINT) framework is proposed for understanding news creation intent, providing a benchmark dataset and method that enhance intent identification and downstream task performance.

Year
2023
Venue
arXiv 2023
Authors
6
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Abstract onlyARXIV-DEFAULT

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arxiv.org/abs/2312.16490v2ARXIV-DEFAULT
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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.

Authors

6