Using Online Conversations to Study Word-of-Mouth Communication

By David Godes, Dina Mayzlin. 2004

2,842 citations recorded by the source corpus.

Subfields: Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9126e0f4244349c57a56686cbd7f5d6890f7982e

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Citations in the corpus

Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth (2015, background): “…of consumer reviews on the purchase de-cisionsof othercustomers (Senecal & Nantel,2004; Smith, Menon, & Sivakumar, 2005), and on the role of consumer reviews in affecting thesalesofdifferenttypesofgoods(Cui,Lui, & Guo,2012;Dellarocas, Zhang, & Awad, 2007; Godes & Mayzlin, 2004; Zhu & Zhang, 2010).”
How Much can you Trust Online Information? Cues for Perceived Trustworthiness of Consumer-generated Online Information (2011, background): “…Lerman 2007), the differential effects of eWOM and critics' reviews on movie evaluation (Chakravarty, Liu, and Mazumdar 2010), and how tie strength, homophily, and source credibility of eWOM communication affect consumers' decision-making (Brown, Broderick, and Lee 2007; Godes and Mayzlin 2004).”
Social Media, Traditional Media, and Music Sales (2014, background): “A number of papers have examined the influence of product reviews on sales, such as Godes and Mayzlin (2004) for TV show ratings, Chevalier and Mayzlin (2006) for books, and Liu (2006), Dellarocas et al. (2007), Duan et al. (2008), Chintagunta et al. (2010), and Moon et al. (2010) for movies.”
Reexamining Health Messages in the Digital Age: A Fresh Look at Source Credibility Effects (2015, background): “These effects have been found in contexts ranging from medicine (Coleman, Katz, and Menzel 1966), to farming (Foster and Rosenzweig 1995), and even to entertainment (Godes and Mayzlin 2004).”
Antecedents and outcomes of brand love: the mediating role of brand loyalty (2018, background): “WoM refers to interpersonal and casual communication about products, which directly shapes the ideas of consumers on goods and services (Godes and Mayzlin 2004; liu 2006; Richins and Root-Shaffer 1988).”
Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products? (2010, background): “traditional theories of product-related interpersonal communication [4, 14, 20, 36] suggest that, ceteris paribus, consumers are more likely to engage in word of mouth (WOM) about less-known, unique products than about widely available, common products because discussing the former makes them look m”
Dynamic Effects of Social Influence and Direct Marketing on the Adoption of High-Technology Products (2014, background): “These developments pose new challenges for marketing researchers and practitioners (Godes and Mayzlin 2004; Libai et al. 2010; Stephen and Galak 2012).”
Informational Cascades and Software Adoption on the Internet: An Empirical Investigation (2009, background): “WOM literatures indicate that exposure to WOM online and offline could significantly influence consumers’ product adoption decisions (Godes and Mayzlin 2004).”
The Different Roles of Product Originality and Usefulness in Generating Word of Mouth (2011, background): “…past research has acknowledged the importance of WOM for product success (Arndt 1967; Chevalier & Mayzlin, 2006; East, Hammond, & Lomax., 2008; Godes & Mayzlin, 2004; Herr Kardes, & Kim, 1991), not much research has explored the mechanism by which WOM is formed, its antecedents, and how it…”
Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content (2012, methodology): “Meanwhile, the hypothesis that product reviews affect product sales has received strong support in prior empirical studies (e.g., Godes and Mayzlin 2004, Chevalier and Mayzlin 2006, Liu 2006, Dellarocas et al. 2007, Duan et al. 2008, Forman et al. 2008, Moe 2009).”
"Highly Recommended!" The Content Characteristics and Perceived Usefulness of Online Consumer Reviews (2011, background): “Content analyses have heretofore been missing due to a lack of proper measurement tools to process the linguistic complexity of online reviews (Godes & Mayzlin, 2004; Mudambi & Schuff, 2010; Godes et al., 2005).”