Current Situation and Frontier Evolution of Online Public Opinion on Public Emergencies: Knowledge Graph Analysis Based on Citespace

Abstract

With the popularity of the Internet and the coverage of new media technologies, the widespread spread of online public opinion on public emergencies has a certain amount of negative impact on public sentiment and social development. In order to systematically grasp the research dynamics and cutting-edge themes of the literature from a macro perspective, this paper took the literature related to online public opinion on public emergencies in CSSCI journals as the research object based on the database of China National Knowledge Infrastructure (CNKI), and comprehensively applied statistical measurement methods to sort out the development lineage, institutional distribution, journal carriers and author influence of this field. Secondly, this study used citespace knowledge mapping technology to visualize and present keywords. Based on this, the clustering outcomes of the LLR algorithm were analyzed to summarize keyword evolution and topic variation from technical, informational, and managerial multipe dimensions, and to contrast the variations in methodologies and topic selection in various literature. Finally, the study identified cutting-edge research directions  for the current and future long-term development of the subject, including empirical analysis of big data, information ecological perspectives, and government management.