Network Public Opinion Crisis Management Mechanism Based on Big Data Technology

摘要

In order to overcome the problems existing in the management of network public opinion crisis, such as asymmetric information, too much data, slow data processing and low work efficiency, this paper proposes a novel construction method of network public opinion crisis management mechanism based on big data technology. Combined with the characteristics of network public opinion crisis events and the advantages of big data technology, the construction method can improve the management level of network public opinion crisis from four dimensions, namely, the prevention of network public opinion crisis events, the preparation of network public opinion crisis events, the response of network public opinion crisis events, and the recovery of network public opinion crisis events. The research results show that the construction method can indeed realize the deep integration of network public opinion crisis management mechanism and big data technology, so as to improve the level of network public opinion crisis management in China.