Peer recognition, badge policies, and content contribution: An empirical study

Xintong Han, Yushen Li, Tong Wang

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In this study, we explore the effect of peer recognition on content creation within a prominent Chinese Question-and-Answer (Q&A) platform, specifically focusing on whether votes from peers encourage influencers to engage in providing more answers. Using panel regression models with instrumental variables, our analysis reveals that peer votes have a substantial positive effect on content production. Additionally, we investigate the consequences of two distinct badge policies, the “self-authentication”and the “best-answerer” badge, on content production. Our results demonstrate that while badges aid users in recognizing the quality of an influencer, badges with strong connotations may constrain content creation due to concerns about reputation management and privacy. As such, strategies that enhance platform traffic by promoting voting could be counterproductive if they exacerbate privacy and reputation worries.Our findings provide valuable insights into the role of peer recognition and badge policies in shaping content
Original languageEnglish
Pages (from-to)691-707
Number of pages17
JournalJournal of Economic Behavior & Organization
Volume214
Early online date4 Sept 2023
DOIs
Publication statusPublished - Oct 2023

Keywords / Materials (for Non-textual outputs)

  • badge policies
  • content provision
  • peer recognition
  • question-and-answer platform

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