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讲座题目：The Impact of Generative AI–Assisted Answers on Askers’ Rewarding Behaviors in Social Question-and-Answer Communities

讲座嘉宾：邱凌云教授，北师香港浸会大学工商管理学院管理系

时间：12月3日，14：00-15：00

地点：T1-108

讲座嘉宾：

讲座摘要：

Social question-and-answer communities (SQACs) have emerged as key venues for online knowledge exchange. The recent integration of generative artificial intelligence (GenAI) tools has fundamentally changed how contributors generate answers. While GenAI can improve content quality, it may also evoke algorithm aversion, prompting askers to distrust AI-assisted contributors. This research investigates how GenAI use affects askers’ rewarding behaviors—specifically, answer adoption and contributor following—and the underlying psychological mechanisms. Grounded in the Stereotype Content Model, we propose that GenAI use alters perceived contributor competence (expertise) and warmth (altruism), which jointly determine askers’ responses. Across four studies (including a supplementary study), we find that GenAI use reduces following intentions but has no significant effect on adoption. The negative effect on following is mediated by decreased perceptions of expertise and altruism, whereas the null effect on adoption arises from a compensatory mechanism between enhanced perceived answer quality and diminished perceived contributor competence. These effects depend on askers’ beliefs about GenAI’s capability and on contributor expertise disclosure. This research advances understanding of algorithm aversion and social perception in prosocial digital contexts and offers actionable insights for designing and governing GenAI-enabled knowledge-sharing platforms.

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