Online reputational loss aversion: Empirical evidence from StackOverflow.com
作者:
Highlights:
• We study how contributors to online knowledge sharing communities react to positive and negative nonverbal feedback.
• We find that after contributors receive upvotes as well as downvotes, they subsequently decrease their contribution.
• This effect is more pronounced for downvotes than upvotes, suggesting the presence of reputational loss aversion.
• Contributors may be more sensitive to losses in their reputation, than to corresponding gains.
• Loss aversion appears to be more pronounced for contributors with higher reputation levels.
摘要
Do people care equally about reputational gains and losses? We study this question by analyzing users' contribution to online knowledge repositories, with data from StackOverflow.com, a website for user-curated technical questions and answers. Based on an analysis of about 1.2 million data points (22% of all relevant activity during a six-month period on this website) focusing on consistent, regular contributors, we find that users post fewer answers after receiving upvotes as well as downvotes. This is surprising and not consistent with rational behavior, because it is in the best interest of a user to post more answers after a downvote. Interestingly, users who receive downvotes post significantly fewer answers compared to users who receive upvotes. This suggests that reputational losses (downvotes) elicit a stronger reaction in users than reputational gains (upvotes), suggesting the presence of reputational loss aversion, after controlling for alternative explanations. Overall, users' reaction is about twice as strong for reputational losses as for gains. Loss aversion as indicated by relative reaction to downvotes compared to upvotes is convex in reputation – it is stronger among users in the higher reputation segments compared to the lower and middle ranges. Our paper is novel in extending the study of loss aversion to reputational settings, and studying ex post loss aversion, as compared to ex ante loss aversion in prior literature.
论文关键词:Loss aversion,Online reputation,Panel data,Electronic knowledge repositories,Networks and communities,Empirical methods
论文评审过程:Received 14 August 2021, Revised 7 April 2022, Accepted 8 April 2022, Available online 22 April 2022, Version of Record 11 May 2022.
论文官网地址:https://doi.org/10.1016/j.dss.2022.113793