Sequential and Temporal Dynamics of Online Opinion

By David Godes, José C. Silva. 2012

426 citations recorded by the source corpus.

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Citations in the corpus

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews (2013, background): “While temporal dynamics and concept drift have been studied in online reviews [13, 20, 29], the critical difference between our model and existing work on temporal dynamics is how we treat experience as a function of time.”
Online Product Opinions: Incidence, Evaluation, and Evolution (2012, background): “Several researchers have shown empirically that posted product ratings and reviews become increasingly negative as ratings environments mature (Li and Hitt 2008, Godes and Silva 2012, Moe and Trusov 2011). Schlosser (2005) also showed in a lab environment that posters adjust their product evaluation”
Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews (2015, background): “…is that we have not accounted for changes in the review environment other than the adoption of management responses.6A number of papers, including Godes and Silva (2012) and Moe and Schweidel (2012), discuss the role of the review environment consumers encounter on both the decision to leave a…”
What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, result): “For instance, recent studies observe a significant change in valence of reviews over time i.e., valence decreases both overtime and in sequence (Godes and Silva 2012).”
When and how Managers' Responses to Online Reviews Affect Subsequent Reviews (2018, background): “However, we do control for sequential and temporal review dynamics in our treatment on the treated tests, although we do not find any consistent evidence of the review dynamics documented in the book reviews setting (Godes and Silva 2012).”
Social Media Metrics — A Framework and Guidelines for Managing Social Media (2013, background): “Godes and Silva (2012) Content Valence Review site Book reviews Average rating over time Average Rating Rating”
Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud (2016, unknown): “We also ﬁnd that a restaurant’s “oﬄine” reputation matters.”
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (2020, background): “, Amazon, Airbnb, Yelp) (Godes and Silva, 2012; Hu et al., 2017; Zervas et al., 2015), word of mouth (East et al.”
Digital marketing: A framework, review and research agenda (2017, unknown): “In addition, Godes and Silva (2012) contributed to the research of the dynamics of eWOM by explaining the temporal dynamics.”
Introduction to the Special Issue - Social Media and Business Transformation: A Framework for Research (2013, background): “Godes and Silva (2012) and Zhang and Godes (2012) use reported rating.”