微博
社会化媒体
背景(考古学)
情绪分析
计算机科学
信息共享
社交网络(社会语言学)
扩散
数据科学
万维网
人工智能
生物
热力学
物理
古生物学
作者
Stefan Stieglitz,Linh Dang-Xuan
标识
DOI:10.2753/mis0742-1222290408
摘要
As a new communication paradigm, social media has promoted information dissemination in social networks. Previous research has identified several content-related features as well as user and network characteristics that may drive information diffusion. However, little research has focused on the relationship between emotions and information diffusion in a social media setting. In this paper, we examine whether sentiment occurring in social media content is associated with a user's information sharing behavior. We carry out our research in the context of political communication on Twitter. Based on two data sets of more than 165,000 tweets in total, we find that emotionally charged Twitter messages tend to be retweeted more often and more quickly compared to neutral ones. As a practical implication, companies should pay more attention to the analysis of sentiment related to their brands and products in social media communication as well as in designing advertising content that triggers emotions.
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