Understanding News Creation Intents: Frame, Dataset, and Method

التفاصيل البيبلوغرافية
العنوان: Understanding News Creation Intents: Frame, Dataset, and Method
المؤلفون: Wang, Zhengjia, Wang, Danding, Sheng, Qiang, Cao, Juan, Su, Silong, Sun, Yifan, Hu, Beizhe, Ma, Siyuan
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Computers and Society
الوصف: As the disruptive changes in the media economy and the proliferation of alternative news media outlets, news intent has progressively deviated from ethical standards that serve the public interest. News intent refers to the purpose or intention behind the creation of a news article. While the significance of research on news intent has been widely acknowledged, the absence of a systematic news intent understanding framework hinders further exploration of news intent and its downstream applications. To bridge this gap, we propose News INTent (NINT) frame, the first component-aware formalism for understanding the news creation intent based on research in philosophy, psychology, and cognitive science. Within this frame, we define the news intent identification task and provide a benchmark dataset with fine-grained labels along with an efficient benchmark method. Experiments demonstrate that NINT is beneficial in both the intent identification task and downstream tasks that demand a profound understanding of news. This work marks a foundational step towards a more systematic exploration of news creation intents.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2312.16490
رقم الأكسشن: edsarx.2312.16490
قاعدة البيانات: arXiv