Manipulation of Public Opinion by Social Bots in the Spread of China-Related Information
This paper uses social network analysis to extract opinion leaders in information diffusion,LDA and BERT models to extract information themes and emotional tendencies.It analyzes the functional characteristics of different roles of social bots in information diffusion and argues that there is a clear division of labor:opinion leaders exhibit"focused"thematic features and neutral emotions towards China while opinion boosters exhibit"involved"thematic features and negative emotions.It assists opinion leaders to complete the agenda setting while also autonomously shifting and strengthening the agenda.
social botRussian-Ukraine conflictopinion leaderopinion boosterpublic opinion diffusion
NETL
NSTL
万方数据
