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

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arxiv 2312.16490 v2 pith:GMP72DOM submitted 2023-12-27 cs.CL cs.AIcs.CY

Zhengjia Wang , Danding Wang , Qiang Sheng , Juan Cao , Siyuan Ma , Haonan Cheng This is my paper · ORCID
classification cs.CLcs.AIcs.CY
keywords intentnewsapplicationframeworknintstructuredunderstandingaction
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval

    cs.CL 2025-08 conditional novelty 5.0 of 10

    NEWSCOPE adds sentence-level clustering and cluster-aware greedy reranking to dense news retrieval, reporting higher viewpoint diversity on two new benchmarks, at a small relevance cost.

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