Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50356

Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure

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Title:Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure
Authors:Choi, HanByeol Stella
Kwak, Chanhee
Lee, Junyeong
Lee, Heeseok
Keywords:Innovative Behavioral IS Security and Privacy Research
Online crowdedness, Online reviews, Self-disclosure, Social presence theory
Date Issued:03 Jan 2018
Abstract:Nowadays, people communicate with many others online. Of the online sites, product review pages have become an important communication medium on which consumers share information about a product. Drawing upon this trend, we examined the factors that affect reviewers’ self-disclosure behavior. Prior studies have found that privacy behaviors such as self-disclosure are affected by diverse contextual factors. In this study, we propose that online crowdedness is an important contextual factor for self-disclosure behavior. Using review data from the largest online apparel rental site in the U.S., we empirically explored the relationship between online crowdedness and self-disclosure behavior. The result shows that online crowdedness can discourage self-disclosure behavior.
Pages/Duration:9 pages
URI/DOI:http://hdl.handle.net/10125/50356
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.468
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Innovative Behavioral IS Security and Privacy Research


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