Related papers: You talk what you read: Understanding News Comment Behavior by Dispositional and Situational Attribution

You talk what you read: Understanding News Comment Behavior by Dispositional and Situational Attribution

URL: http://arxiv.org/abs/2308.02168v1
Date: Fri, 4 Aug 2023 07:10:15 GMT
Title: You talk what you read: Understanding News Comment Behavior by Dispositional and Situational Attribution
Authors: Yuhang Wang, Yuxiang Zhang, Dongyuan Lu and Jitao Sang
Abstract summary: A three-part encoder-decoder framework is proposed to model the generative process of news comment. The resultant dispositional and situational attribution contributes to understanding user focus and opinions.
Score: 20.279995723061568
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Many news comment mining studies are based on the assumption that comment is explicitly linked to the corresponding news. In this paper, we observed that users' comments are also heavily influenced by their individual characteristics embodied by the interaction history. Therefore, we position to understand news comment behavior by considering both the dispositional factors from news interaction history, and the situational factors from corresponding news. A three-part encoder-decoder framework is proposed to model the generative process of news comment. The resultant dispositional and situational attribution contributes to understanding user focus and opinions, which are validated in applications of reader-aware news summarization and news aspect-opinion forecasting.

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