Preheating Prosocial Behaviour

Casey J. Wichman, Nathan W. Chan
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Abstract

We provide new evidence on motivations for voluntary contributions to public goods in a natural setting. Using natural language processing on users’ Twitter posts, we measure revealed sentiment changes before and after making a donation to Wikipedia. We find strong evidence that sentiment improves in the hour and minutes directly before contributing, which we call ‘preheating’. Results are robust to alternative fixed effects and approaches to inference and supported by a complementary online experiment with randomised mood inducement among Twitter users. Preheating suggests that affective states influence giving in addition to reward-seeking, utility-maximising behaviour that has been documented in other contexts.
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预热亲社会行为
我们为在自然环境中自愿为公共物品捐款的动机提供了新的证据。通过对用户的推特帖子进行自然语言处理,我们测量了向维基百科捐款前后的情绪变化。我们发现强有力的证据表明,在捐款前的一小时或几分钟,情绪会有所改善,我们称之为“预热”。结果对于替代固定效应和推理方法是稳健的,并得到了Twitter用户随机情绪诱导的补充在线实验的支持。预热表明,除了在其他情况下记录的寻求奖励和效用最大化行为外,情感状态还会影响捐赠。
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