This study tries to explore the impact of weather elements on the content creation behavior of social media users. Based on environmental psychology, arousal theory, and emotion as social information theory, this study investigates the influencing mechanism of weather on UCCB. We crawled UCCB data and weather data by Python and then adopted a fixed-effect model to test the research hypotheses. The results show that both temperature and sunlight have significant U-shaped relationships with UCCB. In contrast, the air pollution index has a significant inverted U-shaped relationship with UCCB. In addition, air pressure has a significant negative impact on UCCB, while air humidity has a significant positive impact on UCCB, and users’ emotions have significant mediating effects between weather elements and UCCB. The findings have relevance to the public opinion governance during sudden weather changes.


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