Does the most popular answer lead to the best answer: The moderating roles of tenure, social closeness, and cultural tightness

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2025-01-27 DOI:10.1016/j.dss.2025.114405
Yuxin Cai , Xiayu Chen , Shaobo Wei
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Abstract

Online question and answer (Q&A) communities rely on the general audience or the question asker to determine the best answer. However, limited attention has been directed toward understanding the influence of the general audience-favored answer (i.e., most popular answer) on the question asker-selected best answer (i.e., best answer). This study examines whether and how the general audience-favored answer influences the question asker-selected best answer. Drawing upon uncertainty reduction theory (URT), this paper investigates how three uncertainty reduction strategies (i.e. question askers' tenure, social closeness between the question asker and question answerer, and cultural tightness of the question asker's region) moderate the relationship between the general audience-favored answer and the question asker-selected best answer. To test the theoretical model, we used a dataset from an online Q&A community comprising 161,695 observations. Our results reveal that the general audience-favored answer more likely leads to the question asker-selected best answer. Furthermore, we find that the question asker's tenure and the social closeness between the question asker and question answerer negatively moderate the above relationship, while the cultural tightness of question asker's region positively moderates the above relationship. This research offers a new perspective on the mechanisms through which the general audience-favored answer leads to question asker-selected best answer. By identifying the critical roles of uncertainty reduction strategies during the best answer selection process, our research provides valuable insights for online Q&A community managers to optimize user engagement and satisfaction.
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在线问答(Q&A)社区依靠广大受众或提问者来确定最佳答案。然而,人们对一般受众喜爱的答案(即最受欢迎的答案)对提问者选择的最佳答案(即最佳答案)的影响的了解还很有限。本研究探讨了受众喜爱的答案是否以及如何影响提问者选出的最佳答案。本文借鉴不确定性降低理论(URT),研究了三种不确定性降低策略(即提问者的任期、提问者与回答者之间的社会亲密度以及提问者所在地区的文化亲密度)如何调节普通受众喜爱的答案与提问者选择的最佳答案之间的关系。为了检验该理论模型,我们使用了一个在线问答社区的数据集,其中包含 161,695 个观察结果。我们的结果表明,一般受众喜爱的答案更有可能导致提问者选择最佳答案。此外,我们还发现,提问者的任期和提问者与回答者之间的社会亲密度对上述关系有负向调节作用,而提问者所在地区的文化紧密度对上述关系有正向调节作用。这项研究为一般受众喜爱的答案导致提问者选择最佳答案的机制提供了一个新的视角。通过确定减少不确定性策略在最佳答案选择过程中的关键作用,我们的研究为在线问答社区管理者优化用户参与度和满意度提供了有价值的见解。
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
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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