Research on the Mechanism of Collective Intelligence Emergence of Network Public Opinion from the Perspective of Social Information Processing
[Research purpose]Clarifying the mechanism of intelligent emergence of online public opinion groups can provide insights in-to the information value in complex public opinion fields and provide theoretical basis for knowledge management of online public opinion.[Research method]Based on the characterization of the emergence of collective intelligence,a mechanism integration model is construc-ted based on social information processing theory,including cognitive triggering mechanism,collaborative annotation mechanism,view-point interaction and confrontation mechanism,time control mechanism,and platform response mechanism.The relationship between sub mechanisms is discussed,and the rationality of mechanism research is demonstrated through empirical analysis.[Research conclusion]The emergence of intelligent online public opinion groups has complex nonlinear system characteristics,and knowledge entities follow the power law distribution.The knowledge density of online groups is relatively high in the stage of divergent public opinion viewpoints,and the emergence of group intelligence is not obvious in the stage of aggregation of public opinion viewpoints.The information heterogeneity environment caused by dispersed viewpoints is not a sufficient and necessary condition to stimulate group intelligence.
online public opiniongroup intelligenceemergence mechanismcharacter depictionsknowledge entitynonlinear emer-gencesocial information processing theory
国家科技期刊平台
NSTL
万方数据
