POPULARITY FEEDBACK AND ADAPTATION STRATEGIES IN ONLINE DATING: A SOCIAL COMPARISON PERSPECTIVE

• 成果类型: Article
• 署名作者: Shi, Lanfei; Huang, Peng; Ramaprasad, Jui
• 署名单位: University of Virginia; University System of Maryland; University of Maryland College Park
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2024/17861
• 发表日期: 2025
• 页码: 521-554
• 关键词: relative performance feedback; ASPIRATION-LEVEL ADAPTATION; user-generated content; self-determination; gender-differences; media; BEHAVIOR; motivation; IMPACT; likes

摘要

Digital platforms are increasingly employing informational nudges to motivate user participation. This paper examines the provision of popularity information as a feedback mechanism and its impact on users' adaptation strategies. Leveraging ego utility theory and self-determination theory, we hypothesize that comparative popularity information-information that facilitates social comparison-will trigger different reactions based on gender and popularity level. In collaboration with an online dating service provider, we designed and conducted two randomized field experiments in which we provided popularity feedback to platform users and investigated their post-feedback behavioral changes in two adaptation strategies: the selectiveness in choosing potential partners (i.e., selectivity calibration) and the frequency of their online profile modifications (i.e., self-marketing). In the first experiment, where we revealed information about their popularity relative to other users, we found that those who received low-popularity feedback significantly increased self-marketing efforts and lowered their selectivity, but the opposite was observed in individuals who received high-popularity feedback. We also found that men readily made adaptations to their selectivity calibration and self-marketing, whereas women's behaviors were more persistent as they exhibited little strategic change. We then conducted a second experiment in which we revealed absolute popularity instead of comparative popularity and observed no significant changes in adaptation strategies. Comparing the outcomes of the two experiments, we argue that it is the social comparison information associated with comparative popularity that drives user behavioral changes.