Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure
| dc.contributor.author | Choi, HanByeol Stella | |
| dc.contributor.author | Kwak, Chanhee | |
| dc.contributor.author | Lee, Junyeong | |
| dc.contributor.author | Lee, Heeseok | |
| dc.date.accessioned | 2017-12-28T01:55:21Z | |
| dc.date.available | 2017-12-28T01:55:21Z | |
| dc.date.issued | 2018-01-03 | |
| dc.description.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. | |
| dc.format.extent | 9 pages | |
| dc.identifier.doi | https://doi.org/10.24251/HICSS.2018.468 | |
| dc.identifier.isbn | 978-0-9981331-1-9 | |
| dc.identifier.uri | http://hdl.handle.net/10125/50356 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the 51st Hawaii International Conference on System Sciences | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Innovative Behavioral IS Security and Privacy Research | |
| dc.subject | Online crowdedness, Online reviews, Self-disclosure, Social presence theory | |
| dc.title | Too Crowded to Disclose! Exploring the Relationship Between Online Crowdedness and Self-Disclosure | |
| dc.type | Conference Paper | |
| dc.type.dcmi | Text |
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