Research on Network Digital Image Information Public Opinion Incident Prevention

Abstract

In recent years, the proportion of image information has raise to 90% in information transmission. With the rapid development, the network digital image also faced a series of problems. Network digital image forgery has become one of the most serious problems in the process of transmission. Image forgery has seriously affected the authenticity of the news, made the people produce panic intensified social contradictions, and triggered a wide range of public opinion problem. This has led to social disharmony and instability yet. Therefore, research on authenticity identifying of the network news images and the prevention of public opinion incident have important practical significance. In this paper, the forgery manners and reasons of the network digital images are classified in detail. We summarized the common identification methods, and put forward our own opinions on prevention strategies of public opinion incident.