Cross-Social-Media Public Opinion Risk Perception:Construction and Implementation of a Theoretical Framework
The shifting and moving among social media platforms allow Internet users to obtain complex and diversified information,accelerate the efficiency of public opinion communication,and accelerate the generation and evolution of pub-lic opinion risks.Timely capture and prediction of online public opinion risks are crucial for maintaining network security.Currently,the perception objects of public opinion risk mainly focus on a single social media platform,and there is room to expand the construction and implementation of a theoretical framework for cross-social-media public opinion risk percep-tion.Therefore,by analyzing the communication characteristics of cross-social-media public opinion risk,this study sys-tematically develops a cross-social-media public opinion risk perception framework that includes three stages:identifica-tion of abnormal public opinion on a single media platform,research and evaluation of cross-social-media public opinion risk,and prediction of cross-social-media public opinion risk.Through the construction of a multistage index system and data correlation mining,the identification,research,and prediction of cross-social-media public opinion risks are realized.The findings can broaden the research perspective of public opinion risk perception,enrich the theoretical system of public opinion risk,and strengthen the synergy of social media to enable public opinion risk governance,which will be conducive for improving the level of public opinion risk prevention and control.
social mediapublic opinion riskrisk perceptioncross-social-media
NETL
NSTL
万方数据
维普
