Title | ||
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Engaging voluntary contributions in online review platforms: The effects of a hierarchical badges system |
Abstract | ||
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Employing a hierarchical badges system to sustain users' participation and content contribution has been a common practice in online review platforms. However, it is still unclear whether this incentive mechanism is effective in inducing users to provide more substantial and useful reviews. In this paper, we draw on the goalsetting theory and status hierarchies theory to study how the hierarchical badges system impacts users' behavior such as their effort levels and expressed opinions, using the data of 234,220 reviews from a large online review platform. Our results show that users significantly increase their efforts as their status are promoted, manifesting as review frequency, length, and readability. In terms of expressed opinions, users with higher badges are less likely to post extremely negative ratings and use negative emotional words. Our results have important implications for business modes that rely on user-generated content, such as online review platforms, social question and answer sites, social media, and crowdsourcing systems. |
Year | DOI | Venue |
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2022 | 10.1016/j.chb.2021.107042 | COMPUTERS IN HUMAN BEHAVIOR |
Keywords | DocType | Volume |
Hierarchical badges system, Online review, Incentive mechanism, User effort, Opinion | Journal | 127 |
ISSN | Citations | PageRank |
0747-5632 | 0 | 0.34 |
References | Authors | |
0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dandan Ma | 1 | 0 | 0.34 |
Shuqing Li | 2 | 0 | 0.34 |
Jia Tina Du | 3 | 0 | 1.35 |
Zhan Bu | 4 | 0 | 0.34 |
Jie Cao | 5 | 0 | 0.34 |
Jianjun Sun | 6 | 19 | 3.07 |