[Purpose/significance] The paper is aimed to explore the emotional mechanism of postgraduates' online academic information seeking behavior, in order to deepen the research on emotional problems in information seeking behavior.[Method/process] By employing semi-structured interview method, relevant data of 25 postgraduate students' academic information search activities in the network environment were collected. The qualitative data were analyzed by using three-level coding, and the emotional and behavioral characteristics of their information search behaviors were extracted.[Result/conclusion] In the process of searching online academic information, graduate students have different types of emotional valence and emotional arousal. The former includes positive emotion, neutral emotion and negative emotion, while the latter includes high arousal, medium arousal and low arousal. Emotional valence and arousal can lead to different types of positive and negative behaviors.
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