In recent decades, researchers’ interest in the role of emotions in individual political learning has grown. However, it is still unclear whether and how discrete emotions are associated with political learning. Through a cross-disciplinary systematic review and multilevel meta-analysis, we reviewed which discrete emotions have been analyzed in the context of political learning so far and meta-analytically synthesized how these emotions relate to political learning. We addressed this question by synthesizing associations between discrete emotions and various aspects of learning about political matters, such as political attention, information seeking, discussions, knowledge, and knowledge gain. The final dataset included 66 publications with 486 effect sizes, involving more than 100,000 participants. Most of the effect sizes were based on negative-activating emotions (65%; mainly anxiety, 32%, and anger, 19%) and positive-activating emotions (32%; mainly enthusiasm, 15%), while studies on positive-deactivating emotions (e.g., contentment) and negative-deactivating emotions (e.g., sadness) are largely lacking. We uncovered small positive associations (r = .05 to .13) for activating emotions, of both negative (especially anger) and positive valence (e.g., enthusiasm, only in cross-sectional designs), but no associations for negative-deactivating emotions. We discuss theoretical implications and recommend future research to include previously unconsidered emotions in order to extend existing findings.

近几十年来，研究人员对情绪在个人政治学习中的作用越来越感兴趣。然而，目前尚不清楚离散情绪是否以及如何与政治学习相关。通过跨学科的系统回顾和多层次的元分析，我们回顾了迄今为止在政治学习背景下分析的离散情绪，并元分析综合了这些情绪与政治学习的关系。我们通过综合离散情绪与学习政治事务的各个方面（例如政治关注、信息寻求、讨论、知识和知识获取）之间的关联来解决这个问题。最终数据集包括 66 篇出版物，486 个效应大小，涉及超过 100,000 名参与者。大多数效应大小基于消极激活情绪（65%；主要是焦虑，32%，愤怒，19%）和积极激活情绪（32%；主要是热情，15%），而关于积极抑制情绪的研究情绪（例如满足）和消极消极情绪（例如悲伤）很大程度上缺乏。我们发现了激活情绪的小积极关联（r = 0.05 至 0.13），包括消极（尤其是愤怒）和积极效价（例如，热情，仅在横截面设计中），但没有与消极失活情绪相关。我们讨论了理论意义，并建议未来的研究包括以前未考虑到的情绪，以扩展现有的发现。