Research on Network Digital Image Information Public Opinion Incident Prevention

DOI

10.2991/msie-16.2016.40How to use a DOI?

Keywords

Network digital image; Prevention; Public opinion incident; Forgery.

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Junliu Zhong
AU  - Yanfen Gan
AU  - Janson Young
AU  - Lian Huang
PY  - 2016/10
DA  - 2016/10
TI  - Research on Network Digital Image Information Public Opinion Incident Prevention
BT  - Proceedings of the 2016 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 180
EP  - 183
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-16.2016.40
DO  - 10.2991/msie-16.2016.40
ID  - Zhong2016/10
ER  -