2011
DOI: 10.1016/j.dss.2010.08.013
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Manipulation in digital word-of-mouth: A reality check for book reviews

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Cited by 111 publications
(61 citation statements)
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References 19 publications
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“…Some studies show that peripheral cues in text based reviews such as reviewer rating, identity, and credibility are influential (e.g. Baek et al 2012;Forman et al 2008 (Dellarocas 2006;Godes et al 2005;Hu et al 2011a;Hu et al 2012;Hu et al 2011b;Li et al 2008) 2 (Baek et al 2012;Forman et al 2008;Racherla et al 2012b) 3 (Dellarocas et al 2007;Forman et al 2008;Ghose et al 2011;Hu et al 2008) 4 (Baek et al 2012;Ghose et al 2011;Li et al 2013;Mudambi et al 2010;Racherla et al 2012a;Schindler et al 2012) 5 (Chevalier et al 2006;Dellarocas et al 2007;Duan et al 2008b;Ghose et al 2011;Godes et al 2005;Gu et al 2012;Hu et al 2013 (Kumar et al 2006) 12 (Park et al 2007) A C C E P T E D M A N U S C R I P T…”
Section: Presentation Formats and Product Typesmentioning
confidence: 99%
“…Some studies show that peripheral cues in text based reviews such as reviewer rating, identity, and credibility are influential (e.g. Baek et al 2012;Forman et al 2008 (Dellarocas 2006;Godes et al 2005;Hu et al 2011a;Hu et al 2012;Hu et al 2011b;Li et al 2008) 2 (Baek et al 2012;Forman et al 2008;Racherla et al 2012b) 3 (Dellarocas et al 2007;Forman et al 2008;Ghose et al 2011;Hu et al 2008) 4 (Baek et al 2012;Ghose et al 2011;Li et al 2013;Mudambi et al 2010;Racherla et al 2012a;Schindler et al 2012) 5 (Chevalier et al 2006;Dellarocas et al 2007;Duan et al 2008b;Ghose et al 2011;Godes et al 2005;Gu et al 2012;Hu et al 2013 (Kumar et al 2006) 12 (Park et al 2007) A C C E P T E D M A N U S C R I P T…”
Section: Presentation Formats and Product Typesmentioning
confidence: 99%
“…Moreover, they found to fake negative reviews were linguistically different from truthful and fake positive reviews in terms of first person singular use, verbs use etc. At the beginning of a launched product item review manipulation occurs more frequently and it decreases over time[78].…”
mentioning
confidence: 99%
“…He compared different categories of features involving linguistic, review metadata, readability and subjectivity features and found linguistic features to the best. Study indicated several interesting future directions to work further.Hu et al[78] devised two discretionary accruals based models, one for helpfulness measurement and other for validation. The model considered 7 variables to decide the helpfulness of a review.…”
mentioning
confidence: 99%
“…People have become accustomed to freely expressing their sentiments and emotions over different online platforms (e.g., Amazon, TripAdvisor, and Yelp), which provides us with credible and informative data (e.g., product features) [1,2]. Online reviews are important in decision making both for individuals and organizations [3]. They also have a significant effect on sales [1,4].…”
Section: Introductionmentioning
confidence: 99%