False online public opinion identification method

Abstract

The invention discloses a false online public opinion identification method which is used for solving the technical problem that the existing internet false online opinion identification method needs to process large amount of network information. The technical scheme adopted by the false online public opinion identification method is as follows: network forum information dissemination is modeled and analyzed by adopting the behavior analyzing technology, so that network hot events and public opinions are detected; and the public opinions are subjected to correlation analysis in the aspects of spatial correlation, time correlation, subject correlation and emotional correlation and the like according to the behavioral features of network water army, so that probably existing false online public opinions can be identified. The amount of network information to be processed is reduced to the lowest limit.

Description

technical field [0001] The invention belongs to the field of Internet public opinion analysis and identification, and in particular relates to a method for identifying false Internet public opinion. Background technique [0002] There are more than 500 million netizens in my country. Many netizens regard the Internet as a window to understand social conditions and public opinions, expose social abuses, and carry out social supervision. Many hot social events are first paid attention to by Internet public opinion, and then lead to media reports. According to the "Blue Book" released by the Chinese Academy of Social Sciences, among the 77 influential social hotspot events in 2009, 23 cases aroused public attention due to Internet revelations, accounting for about 30% of all events. It can be seen that the Internet has become an important platform for news and public opinion supervision, especially online forums featuring diversification and interaction have become the main sou...

AI Technical Summary

Problems solved by technology

For network public opinion analysis technology, it can be divided into two categories: one is content-based public opinion analysis method, which mainly uses network text analysis technology to detect hot topics in network forums. This method needs the help of text information processing platform to analyze text content analysis, the amount of data processing is large, and the processing efficiency is low, which is not suitable for the identification and monitoring of large-scale false Internet public opinion caused by Internet trolls; the second is the behavior-based public opinion analysis method, which mainly uses complex network analysis methods to analyze the dissemination of network information. Behavior analysis, from which to find the occurrence and evolution of Internet public opinion, the same method is not suitable for direct identification and monitoring of false Internet public opinion

[0007] Since false Internet public opinion is an emerging bad phenomenon in the Internet, there is still a lack of systematic and in-depth research at home and abroad, and no effective method for identifying false Internet public opinion has yet been proposed.

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