Social network rumor identification method and system based on hybrid neural network

Abstract

The invention relates to the technical field of computers, in particular to a social network rumor identification method and system based on a hybrid neural network. The social network rumor identification method and system aims to solve the technical problem that rumors in the social network can not be accurately identified under a situation that rumor forwarding and commenting information is considered. For the purpose, the social network rumor identification method comprises the following steps that: firstly, utilizing three different neural networks to independently obtain a user feature vector, an original text feature vector and a spread information feature vector; then, combining the user feature vector, the original text feature vector and the spread information feature vector to obtain a new feature vector; and finally, utilizing a fourth neural network to carry out rumor identification on the combined feature vectors. On the basis of the above steps, the rumors in the socialnetwork can be quickly and accurately detected. Meanwhile, the system in the invention can execute and realize the above steps.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for identifying social network rumors based on a hybrid neural network. Background technique [0002] Social networking on the Internet refers to the social interaction realized by using various network software (such as Twitter, Facebook and Sina Weibo, etc.) based on the Internet. While social networking provides convenience for interpersonal communication, it also opens up new places for the spread of rumors. [0003] Currently, rumor recognition methods based on machine learning or deep recurrent neural networks can be used to identify rumors in social networks. For example, method 1: the method disclosed in "Enquiring minds: Early detection of rumors insocial media from inquiry posts" (In: Proceedings of the 24th International Conference on World Wide Web International World Wide Web Conferences Steering Committee, p. 1395-1405), consider Structural i...

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Problems solved by technology

[0004] Although the above rumor identification methods can identify rumors in social networks, none of these methods analyze the original text of rumors and reposted comment information, and reposted comment information usually contains users' questions or corrections to rumors, which affects the accuracy of rumor identification. Key factor

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