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Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model
International Journal of Information Management ( IF 20.1 ) Pub Date : 2021-06-10 , DOI: 10.1016/j.ijinfomgt.2021.102377
Enrico Corradini , Antonino Nocera , Domenico Ursino , Luca Virgili

In this paper, we propose an investigation of negative reviews and define the profile of negative influencers in Yelp. The methodology adopted to achieve this goal consists of two phases. The first one is theoretical and aims at defining a multi-dimensional social network based model of Yelp, three stereotypes of Yelp users, and a network based model to represent negative reviewers and their relationships. The second phase is experimental and consists in the definition of five hypotheses on negative reviews and reviewers in Yelp and their verification through an extensive data analysis campaign. This was performed on Yelp data represented by means of the models introduced during the first phase. Its most important result is the construction of the profile of negative influencers in Yelp. The main novelties of this paper are: (i) the definition of the two social network based models of Yelp and its users; (ii) the definition of three stereotypes of Yelp users and their characteristics; (iii) the construction of the profile of negative influencers in Yelp.



中文翻译:

通过基于多维社交网络的模型调查 Yelp 中的负面评论并检测负面影响者

在本文中,我们建议对负面评论进行调查,并定义 Yelp 中负面影响者的概况。为实现这一目标而采用的方法包括两个阶段。第一个是理论性的,旨在定义基于多维社交网络的 Yelp 模型、Yelp 用户的三种刻板印象以及基于网络的模型来表示负面评论者及其关系。第二阶段是实验性的,包括在 Yelp 中定义关于负面评论和评论者的五个假设,并通过广泛的数据分析活动对其进行验证。这是对由第一阶段引入的模型表示的 Yelp 数据执行的。其最重要的结果是在 Yelp 中构建了负面影响者的档案。本文的主要创新点是:(i) Yelp 及其用户的两种基于社交网络模型的定义;(ii) Yelp 用户的三种刻板印象的定义及其特征;(iii) 在 Yelp 中构建负面影响者的档案。

更新日期:2021-06-10
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