Bilinear neural network false news detection method and system based on style guidance

Abstract

The invention provides a bilinear neural network false news detection method and system based on style guidance. The method comprises the following steps: acquiring a news text to be subjected to network false news detection, quantifying language style characteristics of the news text through a neural network to obtain a style vector of the news text, and inputting the news text into a text characteristic extractor to obtain a text vector of the news text; inputting the style vector and the text vector into a bilinear neural network, the bilinear neural network comprising a bilinear function for modeling a correlation between the style vector and the text vector to obtain a style-style of the news text; using the maximum score vector in the style-text feature matrix to form a guide vector,and inputting the guide vector to the full connection layer to determine the false news label of the news text. The learning process of the deep learning model is guided according to the language style of the false news generality, and the recognition accuracy and the generalization performance of the model are improved.

Description

technical field [0001] The invention relates to the field of news detection in big data mining, and in particular to a style-guided bilinear neural network false news detection method and system. Background technique [0002] The rapid development of social media has changed people's daily life, and users can easily and freely publish and obtain information from social media. However, the flourishing of social media has also provided fertile ground for the breeding and dissemination of fake news. According to statistics, during the 2016 U.S. presidential election alone, 529 pieces of false news about presidential candidates were generated and spread up to 37 million times. False news has seriously polluted the network social environment and affected the daily life of users, so there is an urgent need for automatic detection of fake news on social media. [0003] In existing studies, researchers usually focus on news content and corresponding social relations. Martin et al...

AI Technical Summary

Problems solved by technology

[0004] When the inventors conducted research on false news detection, they found that the existing methods often rely too much on the news itself, and lack of analysis of the commonality of such news as false news, which makes it difficult for the existing methods to achieve the recognition accuracy of newly generated news. expected level

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