Seasonal Trends of aggressive and Prosocial Behavior on Weibo

Subjects: Psychology >> Applied Psychology submitted time 2019-01-22

黄雨祺 曹璟钰 赵宁 江家丽 符佳慧 滕迪晴 朱廷劭

Abstract： With the development of the Internet, more and more attention has been paid to online verbal aggressive and prosocial behavior, both of which are essentially the expression of individual emotions and are closely related to the changes of individual emotions. In this paper, we crawled the data from Microblog the most popular social software in China, obtaining the word frequency data of aggressive and prosocial behavior, and analyzed the time trend with seasonal differences of these two behaviors. The results show that the time trends of aggressive and prosocial behavior are highly consistent in a year. The frequency of aggressive words in Microblog is significantly different in different seasons (F=2.935, P= 037), in which the frequency of words in winter is significantly higher than that in autumn; the frequency of prosocial words is also significantly different in different seasons (F=14.51, P<0.05), in which the frequency of words in winter is significantly higher than that in other seasons. "

Peer Review Status:Awaiting Review

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