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Updated: Jul 1, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
9.3K
"膨胀的帮助的双刃剑":揭开社区问答平台中拥挤的动机
Vaibhav Krishna1,2, Yash Raj Shrestha3, Georg von Krogh4,5
1Yale Institute of Network Science, Yale University, New Haven, Connecticut, United States of America.
PloS one
|March 13, 2024
概括
在线社区可以改善知识共享,但确保帮助质量是关键. 过去的奖励促进了贡献的成功,但过多的奖励可能会减少它,这表明需要改进游戏化策略.
科学领域:
- 信息科学 信息科学 信息科学
- 计算机介导通信 计算机介导通信
- 在线社区 在线社区
背景情况:
- 数字平台促进在线社区的帮助和知识共享.
- 实用帮助平台面临的一个挑战是确保贡献满足特定信息需求.
- 现有的研究往往忽视了贡献的有效性,而是专注于数量.
研究的目的:
- 调查导致在线问答平台上成功帮助的贡献行为.
- 应用自决和动机拥挤理论来理解帮助行为.
- 确定影响在线帮助社区贡献成功的因素.
主要方法:
- 分析来自在线问答平台的数据集.
- 利用自决和动机拥挤的理论.
- 检查过去的奖励,贡献频率和帮助成功之间的关系.
主要成果:
- 过去的奖励对贡献的成功有积极的影响.
- 高贡献频率可能导致挤出效应,减少成功.
- 贡献频率和成功之间存在一个曲线关系.
结论:
- 帮助平台上的游戏化机制需要重新评估,以优先考虑贡献的成功而不是数量.
- 确保高质量的答案对于用户信任和平台可持续性至关重要.
- 重新思考奖励系统可以优化知识贡献的有效性.
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