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首页> 外文期刊>Journal of the American Society for Information Science and Technology >Opinion Convergence versus Polarization: Examining Opinion Distributions in Online Word-of-Mouth
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Opinion Convergence versus Polarization: Examining Opinion Distributions in Online Word-of-Mouth

机译:观点融合与极化:检查在线口碑中的观点分布

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摘要

We examine how opinion distributions (i.e., opinion polarization and convergence over time) differ across product salient platforms (product platforms) versus product non-salient platforms (non-product platforms). Drawing on the theory of impression management, we hypothesize and explain when and why consumers choose to post their comments on different platforms, and how their behavior will be affected when they choose to post on online platforms. To test the hypotheses, we collected and text-mined online posts from product platforms such as review aggregator sites, discussion forums, and consumer rating websites, and non-product platforms such as microblogs. The results showed that product platforms have more polarized opinions, and exhibit more convergence in opinion across time, compared with non-product platforms. Our findings advise researchers and practitioners to pay attention to the characteristics of online platforms, and how users' perceptions of the purpose of the online platform may affect their online posting behavior.
机译:我们研究了产品显着平台(产品平台)与产品非显着平台(非产品平台)之间的观点分布(即,随着时间的推移,观点极化和趋同)如何不同。基于印象管理的理论,我们假设并解释了消费者何时以及为何选择在不同平台上发布评论,以及当他们选择在在线平台上发布时将如何影响他们的行为。为了检验假设,我们从产品平台(例如评论汇总网站,讨论论坛和消费者评分网站)以及非产品平台(例如微博)收集并挖掘了文本帖子。结果表明,与非产品平台相比,产品平台具有更多的两极分化观点,并且在时间上表现出更多的观点融合。我们的发现建议研究人员和从业人员注意在线平台的特性,以及用户对在线平台用途的看法如何影响他们的在线发布行为。

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