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Vote or not? How various information cues affect helpfulness voting of online reviews

机译:投票或不是?各种信息提示如何影响在线评论的乐于投票

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Purpose The helpfulness vote is a type of aggregate user representation that, by measuring the quality of an online review based on certain criteria, can allow readers to find helpful reviews more quickly. Although widely applied in practice, the effectiveness of the voting mechanism is unsatisfactory. This paper uses the heuristic-systematic model and the theory of dynamics of reviews to shed light on the effect of various information cues (product ratings, word count and product attributes in the textual content of reviews) on online reviews' aggregative voting process. It proposes a conceptual model of seven empirically tested hypotheses. Design/methodology/approach A dataset of user-generated online hotel reviews (n = 6,099) was automatically extracted from Ctrip.com. In order to measure the variable of product attributes as a systematic cue, the paper uses Chinese word segmentation, a part-of-speech tag and word frequency statistics to analyze online textual content. To verify the seven hypotheses, SPSS 17.0 was used to perform multiple linear regression. Findings The results show that the aggregative process of helpfulness voting can be divided into two stages, initial and cumulative voting, depending on whether voting is affected by the previous votes. Heuristic (product ratings, word count) and systematic cues (product attributes in the textual content) respectively exert a greater impact on the two stages. Furthermore, the interaction of heuristic and systematic cues plays an important role in both stages, with a stronger impact on the cumulative voting stage and a weaker one on the initial stage. Practical implications This paper's findings can be used to explore improvements to helpfulness voting by aligning it with an individual's information process strategy, such as by providing more explicating heuristic cues, developing different methods of presenting relevant cues to promote the voting decision at different stages, and specifying the cognitive mechanisms when designing the functions and features of helpfulness voting. Originality/value This study explores the aggregative process of helpfulness votes, drawing on the study of the dynamics of online reviews for the first time. It also contributes to the understanding of the influence of various information cues on the process from an information process perspective.
机译:目的,乐于投票是一种聚合用户表示,通过根据某些标准测量在线评论的质量,可以让读者更快地找到有用的评论。虽然在实践中广泛应用,但表决机制的有效性是不令人满意的。本文采用了启发式系统模型和评论的动态理论,以阐明在线评论在线评论'汇总投票过程中的各种信息提示(产品评级,词汇数和产品属性的产品评级,产品评级,单词数和产品属性。它提出了七个经验测试假设的概念模型。设计/方法/方法用户生成的在线酒店评论(n = 6,099)从CTRIP.COM自动提取。为了测量产品属性的变量作为系统提示,本文使用中文字分割,一个语音标签和字频统计来分析在线文本内容。要验证七个假设,SPSS 17.0用于执行多个线性回归。结果表明,助人投票的聚合过程可分为两个阶段,初始和累积投票,具体取决于投票是否受到之前投票的影响。启发式(产品评级,字数)和系统提示(文本内容中的产品属性)分别对两个阶段产生更大的影响。此外,启发式和系统性提示的相互作用在两个阶段中发挥着重要作用,对累积投票阶段的影响更大,初始阶段的较弱。实际含义本文的调查结果可用于探讨通过与个人的信息流程战略对齐有助于投票的改进,例如通过提供更透析的启发式线索,开发出于提出相关提示的不同方法,以促进不同阶段的投票决策,以及在设计乐于投票的功能和特征时指定认知机制。本研究探讨了助人投票的聚合过程,第一次探讨了助人投票的聚合过程,借鉴了第一次在线评论的动态。它还有助于了解各种信息提示对从信息过程的角度对过程的影响。

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