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A Meta-Analysis on the Determinants of Online Review Helpfulness

机译：对在线评论有用性决定因素的Meta分析

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摘要

Online consumer reviews can help customers decrease uncertainty and risk faced in online shopping.However, information overload and conflicting comments in online reviews can get consumers confused.Therefore, it is important for both researchers and practitioners to understand the characteristics of helpful reviews.But studies examining the determinants of perceived review helpfulness produce mixed findings.We review extant research about the determinant factors of perceived helpfulness.Conflicting findings exist for six review related factors, namely review extremity, review readability, review total votes, linear review rating, quadratic review rating, and review sentiment.We conduct a meta-analysis to reconcile the contradictory findings on the influence of review related factors over perceived review helpfulness.The meta-analysis results confirm that review extremity, readability, total votes, and positive sentiment have a negative influence on helpfulness, but review rating is positively related to helpfulness.We also examine those studies whose findings are contradictive with the meta-analysis results.Measure discrepancy and reviewed product type are the two main reasons why mixed findings exist in extant research.
机译：在线消费者评论可以帮助客户减少在线购物中的不确定性和风险，但是，在线评论中的信息过多和评论冲突可能会使消费者感到困惑，因此，对于研究人员和从业人员而言，了解有用评论的特征非常重要。审查感知的有用性的决定因素会产生不同的结果。我们审查了有关感知有用性的决定因素的现有研究。存在与六个评论相关因素相矛盾的发现，即评论的极端性，评论的可读性，评论的总票数，线性评论等级，二次评论等级我们进行了一项荟萃分析，以调和矛盾的结论，即与回顾相关因素对感知有用性的影响之间的矛盾关系。荟萃分析结果证实，评论的四肢，可读性，总票数和正面情绪均具有负面影响有帮助，但评论评分为pos我们还检查了那些与荟萃分析结果相矛盾的研究。度量差异和审查的产品类型是现有研究中存在混合发现的两个主要原因。

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