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A Comparison of Traditional Book Reviews and Amazon.com Book Reviews of Fiction Using a Content Analysis Approach

机译:使用内容分析方法比较小说的传统书评和Amazon.com小说书评

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Abstract Objective - This study compared the quality and helpfulness of traditional book review sources with the online user rating system in Amazon.com in order to determine if one mode is superior to the other and should be used by library selectors to assist in making purchasing decisions. Methods - For this study, 228 reviews of 7 different novels were analyzed using a content analysis approach. Of these, 127 reviews came from traditional review sources and 101 reviews were published on Amazon.com. Results - Using a checklist developed for this study, a significant difference in the quality of reviews was discovered. Reviews from traditional sources scored significantly higher than reviews from Amazon.com. The researcher also looked at review length. On average, Amazon.com reviews are shorter than reviews from traditional sources. Review rating—favourable, unfavourable, or mixedeutral—also showed a lack of consistency between the two modes of reviews. Conclusion - Although Amazon.com provides multiple reviews of a book on one convenient site, traditional sources of professionally written reviews would most likely save librarians more time in making purchasing decisions, given the higher quality of the review assessment.
机译:摘要目的-这项研究将传统书评来源的质量和有用性与Amazon.com上的在线用户评分系统进行了比较,以确定一种模式是否优于另一种模式,图书馆选择者应使用该模式协助做出购买决策。方法-对于本研究,使用内容分析方法对7种不同小说的228条评论进行了分析。其中,有127条评论来自传统评论来源,其中101条评论已发布在Amazon.com上。结果-使用为此研究开发的清单,发现评论质量存在显着差异。来自传统来源的评论得分明显高于来自Amazon.com的评论。研究人员还研究了评论时间。平均而言,Amazon.com的评论要短于传统来源的评论。评论等级(有利,不利或混合/中立)也表明两种评论模式之间缺乏一致性。结论-尽管Amazon.com在一个便利的站点上提供了对一本书的多个评论,但是鉴于评论评估的质量更高,传统的专业书面评论资源很可能会为图书馆员节省更多的购买决策时间。

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