Research on two-stage public opinion evolution configuration path based on fuzzy-set qualitative comparative analysis.

Purpose: Under the background of coexistence of information overload and information fragmentation, it is of great significance to identify influencing factors and reveal the evolution logic of public opinion for public opinion governance. Design/methodology/approach: Taking 24 hot social events as research cases, firstly, the evolution process of public opinion was divided into initial stage and response stage. Secondly, eight antecedent variables were extracted for qualitative comparative analysis of fuzzy sets. Finally, the configuration path of public opinion evolution results was summarized. Findings: The research showed that compared with the initial stage, the influencing factors in the reaction stage played a key role in the continuous evolution of public opinion. The influencing factors in the initial stage and response stage played an indispensable role in promoting the evolution of public opinion to calm down. Practical implications: This research can provide reference for regulators to timely grasp the initiative, discourse power and leadership of public opinion development. Originality/value: Research on the two-stage configuration path of public opinion evolution is helpful to clarify the key factors affecting the evolution trend of online public opinion of hot events. [ABSTRACT FROM AUTHOR]