Study on Crisis Early-warning of Internet Rumors about Emergencies Based on BP Neural Network
Ying Zhou, Peng Zhang, Yuexin Lan, Haoqing Li · 2016
With the emergencies raising a media storm on the internet, it always brings all kinds of internet rumors at the same time, which not only damages the government's image, but also creates great obstacles to dealing with emergencies.Therefore, conducting risk assessments about Internet Rumors in emergencies is an effective measure to prevent and control Internet Rumors in public administration.In this paper, the BP neural network model is used for crisis warning of establishing an Internet rumors early-warning index system, and then the quantitative evaluation of risk for the Internet rumors can be achieved.We analyzed and verified the model through computer simulation experiments combined with the explosion event in Tianjin on August 12th, 2015.The conclusion suggests that it is feasible to use BP neural network model in crisis warning of Internet rumors, and the warning's grading result helps the government in preventing and controlling Internet rumors.