The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias

By Chrysanthos Dellarocas, Charles A. Wood. Management Sciences, 2008

459 citations recorded by the source corpus.

Subfields: Accounting, Management Science and Operations Research, Safety Research

View Paper: https://www.semanticscholar.org/paper/dfbb943047f7c3f134f9ea075a6dfc75ef6106a3

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Citations in the corpus

Reputation and Feedback Systems in Online Platform Markets (2016, background): “Nosko and Tadelis (2015) expand on Dellarocas and Wood (2008) and directly show how biased reputation measures really are.”
Social Media and Firm Equity Value (2013, background): “The Internet technologies can truthfully and accurately record customer feedback and recommendations that are self-revealed by consumers with an altruistic intention (Dellarocas and Wood 2008).”
"Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews (2014, background): “…significantly affect consumer choices and therefore product sales (Aggarwal et al., Forthcoming, Berger et al., 2010, Chintagunta et al., 2010, Clemons et al., 2006, Dellarocas et al., 2007, Duan et al., 2008, Forman et al., 2008, Li and Hitt, 2008, Liu, 2006, Sun, 2012, Zhu and Zhang, 2010).”
Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity (2018, unknown): “While classic examples, such as eBay and Amazon.com (Brynjolfsson et al. 2003, Chatterjee 2001, Dellarocas and Wood 2008, Forman et al. 2008), continue to generate billions in revenue annually, new models of platform-enabled, peer-to-peer businesses have recently come to the fore (e.g. AirBNB,…”
Sentiment analysis on evolving social streams: how self-report imbalances can help (2014, background): “We take inspiration on the social psychology finding that describes how humans’ decision on expressing their feelings is increased by the strength of the sentiment they are experiencing [2, 11, 10, 28] (which we call, for short, as extreme-average report imbalance) to devise a textual feature repres”
Reputation Formation and the Evolution of Cooperation in Anonymous Online Markets (2014, unknown): “Based on a dataset of ratings obtained from eBay, Dellarocas and Wood (2008) also identify reciprocity as an important factor driving behavior at the feedback stage.”
Research Commentary - Too Big to Fail: Large Samples and the p-Value Problem (2013, background): “In some cases, authors report conﬁdence intervals (Dellarocas and Wood 2008, Overby and Jap 2009), and marginal effects charts appear in a few papers (Moon and Sproull 2008).”
Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews (2015, background): “A number of field and lab studies (Resnick and Zeckhauser, 2002; Dellarocas and Wood, 2008; Bolton et al., 2013) have shown that in settings where agents can sequentially rate each other negative ratings are underreported, because of a fear of retaliation.”