The Assimilative and Contrastive Effects of Word-of-Mouth Volume: An Experimental Examination of Online Consumer Ratings

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The effect of review valence and variance on product evaluations: An examination of intrinsic and extrinsic cues (2017, methodology): “Khare, Labrecque, and Asare (2011) study experimental data in which valence and variance are manipulated to examine their joint effects on movie evaluations.”
Joint effects of management responses and online reviews on hotel financial performance: A data-analytics approach (2017, background): “Researchers highlight the need to study the interactive effects of influential factors (Davis and Khazanchi, 2008) and posit that factors such as volume of reviews can change the impact of other word-of-mouth (WOM) relevant characteristics on a WOM message’s persuasiveness (Khare et al., 2011).”
Why Is the Crowd Divided? Attribution for Dispersion in Online Word of Mouth (2015, background): “When WOM is attributed to the product, its valence indicates the degree to which the product performs as promised (Khare et al. 2011; Sun 2012; West and Broniarczyk 1998), and its dispersion indicates variability in that performance (e.”
What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, background): “On the contrary, Khare, Labrecque, and Asare (2011) find that individuals with a high desire to be different from others will avoid following the majority.”