Factors contributing to the helpfulness of online hotel reviews

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Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2019, background): “They want to obtain a positive reputation in an online community such as by being voted “helpful” (Kwok and Xie, 2016), gain social identification in the travel community (Cheung and Thadani, 2012), or anticipate hotel managers’ online responses (Gu and Ye, 2014).”
Extremely Negative Ratings and Online Consumer Review Helpfulness: The Moderating Role of Product Quality Signals (2020, background): “…ratings (Fang et al. 2016; Filieri, Raguseo, and Vitari 2018; Filieri, Hofacker, and Alguezaui 2018; Filieri, Raguseo, and Vitari 2019; Kwok and Xie 2016; Z. Liu and Park 2015; Pan and Zhang 2011; S. Park and Nicolau 2015; Schuckert, Liu, and Law 2015; Shin et al. 2019; Yang et al. 2017), or…”
The effects of hotel attribute performance on electronic word-of-mouth (eWOM) behaviors (2019, background): “…benefits, self-enhancement, extraversion, dissonance reduction, and altruism (e.g., Bronner and de Hoog, 2011; Cheung and Lee, 2012; Daugherty et al., 2008; Gvili and Levy, 2016; Hennig-Thurau et al., 2004; Lin and Xu, 2017; Litvin et al., 2008; Nadkarni and Hofmann, 2012; Kwok and Xie, 2016).”