How Facial Expressions of Recipients Influence Online Prosocial Behaviors?-Evidence from Big Data Analysis on Tencent Gongyi Platform
作者机构：the School of Public Policy&ManagementTsinghua UniversityBeijing 100084China the School of Social SciencesTsinghua UniversityBeijing 100084China
出 版 物：《Journal of Social Computing》 (社会计算（英文）)
年 卷 期：2023年第4卷第4期
页 面：337-356页
核心收录：
学科分类：0402[教育学-心理学(可授教育学、理学学位）] 0303[法学-社会学] 0710[理学-生物学] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：online prosocial behavior donation behavior facial expression big data image analysis
摘 要：Cyberspace has significantly influenced people’s perceptions of social interactions and *** a result,the conventional theories of kin selection and reciprocal altruism fall short in completely elucidating online prosocial *** on the social information processing model,we propose an analytical framework to explain the donation behaviors on online *** collecting textual and visual data from Tencent Gongyi platform pertaining to disease relief projects,and employing techniques encompassing text analysis,image analysis,and propensity score matching,we investigate the impact of both internal emotional cues and external contextual cues on donation *** is found that positive emotions tend to attract a larger number of donations,while negative emotions tend to result in higher per capita donation ***,these effects manifest differently under distinct external contextual conditions.
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