Social media platform false information identification method

Abstract

The invention discloses a social media platform false information identification method. The method includes the steps that a false information sample set generation module uses a SGAN (Siamese Generative Adversarial Network) model to construct and generate a large-scale basic false information sample set and then uses a combination way of unsupervised learning and supervised learning to mark thefalse level of the generated basic false information sample; a false information offline identification learning module trains the identification of false information based on deep learning techniquesand iteratively optimizes parameters of a deep identification model; a false information online identification module firstly uses an exploration-to-use strategy to obtain candidate false informationset in newly released information and then conducts false identification and rating on the information in the candidate false information set in real time. Compared with the prior art, the method hasthe advantages of high accuracy, strong generalization ability, high speed and the like, and can be effectively applied to the fields of e-commerce, medical health, network information security and public opinion monitoring.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a method for identifying network false information. Background technique [0002] Entering the Web2.0 era, the rise of social networking (SNS) provides people with an important platform for highly free analysis of information and exchange of views - social media platforms, such as Twitter, Facebook, YouTube, Sina Weibo and Tencent Weibo, etc. With the help of information sharing, dissemination and acquisition technology based on the social network relationship of users on social media platforms, users can form and join different community groups through WEB, WAP and various clients, thus compared with traditional print media and network media. etc., to obtain a greater degree and scale of information, and at the same time generate a richer interactive communication experience and enhance the user's actual use experience. It is precisely by virtue of the unique fiss...

AI Technical Summary

Problems solved by technology

These existing methods can help people to automatically identify some obvious false information to a certain extent. However, as the source of false information gradually increases in intelligence, the recognition accuracy of the existing methods becomes extremely low, thus resulting in the inability to meet people's needs

On the other hand, most of the existing methods falsely identify the global information of the social media platform, so when the data scale is relatively large, the identification speed is very slow, and it is difficult to meet the real-time requirements

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