Exploring news intent and its application: A theory-driven approach
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
DCR: Quantifying Data Contamination in LLMs Evaluation
Streaming 4D Visual Geometry Transformer
Simple is what you need for efficient and accurate medical image segmentation
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
토론
이 논문과 연결된 포럼 글이 아직 없습니다.