Language style and recognition of the answers in health Q&A community: Moderating effects of medical terminology

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Wenjun Zhao, Kai Meng, Li Sun, Jinhui Ma, Zeguang Jia
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引用次数: 0

Abstract

The rise of social question and answer (Q&A) platforms has changed the model of traditional health-information services. The quality of answers on a Q&A platform is critical to attract users and increase their community engagement. Thus, recognition of the answer was used to measure users’ acceptance of the answer. A theoretical model of the impact of language style on community recognition of health questions was developed. Nearly 1330 answers from a health question from Zhihu were obtained to verify the model. Results showed that personality reliability, assertiveness, argumentation clarity, commitment, and reverse incentive of health information positively affected answer recognition, while argumentation structure negatively affected answer acceptance. Simultaneously, the degree of use of medical terminology has a significant moderating effect on the relationship between answer recognition and assertiveness, argumentation structure, argumentation clarity, and commitment. Introducing Aristotle’s rhetoric theory to language style and answer recognition could potentially develop healthy communities and disseminate health knowledge.
健康问答社区的语言风格和答案识别:医学术语的调节作用
社会化问答平台的兴起,改变了传统的健康信息服务模式。问答平台上的答案质量对于吸引用户和提高社区参与度至关重要。因此,答案的识别度被用来衡量用户对答案的接受程度。建立了语言风格对社区健康问题认知影响的理论模型。从知乎上的一个健康问题中获得了近1330个答案来验证该模型。结果表明,健康信息的人格信度、自信度、论证清晰度、承诺度和反向激励正向影响回答的认可度,而论证结构负向影响回答的接受度。同时,医学术语的使用程度对答案识别与自信、论证结构、论证清晰度和承诺之间的关系有显著的调节作用。将亚里斯多德的修辞学理论引入语言风格和答案识别,可以潜在地发展健康的社区和传播健康知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
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