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A method and system for detecting fake news based on a multi-task learning model

A multi-task learning and detection method technology, applied in the field of news detection, can solve problems such as incompleteness, unsatisfactory accuracy, and difficulty in using data, and achieve the effect of improving accuracy

Active Publication Date: 2020-12-01
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0005] Second, users' social activities based on fake news generate a large amount of incomplete, unstructured and noisy data, which makes it very difficult to exploit this data
[0006] In the process of researching the existing technology, the inventors of the present invention found that the existing fake news detection methods mainly focus on extracting lexical features from the news text content to predict its authenticity. When the news text content is short , its accuracy is unsatisfactory
[0007] In order to comprehensively and accurately detect fake news, many fact-checking agencies and social media platforms have invested a lot of manpower and material resources to promote the improvement of related algorithms and technological development of fake news detection, but they have not been able to solve the above problems well.

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  • A method and system for detecting fake news based on a multi-task learning model

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0032] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0033] It should also be understood that the terminology used in the description...

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Abstract

The invention discloses a method and system for detecting fake news based on a multi-task learning model. In one embodiment: using a multi-task learning model, the two tasks of authenticity detection and topic classification of the news to be detected are jointly trained, and the authenticity of the news to be detected and the subject of the news to be detected are returned at the same time . According to the teaching of the embodiments of the present invention, the authenticity of the news and the topic of the news can be detected simultaneously, and the accuracy of fake news detection and topic classification is improved.

Description

technical field [0001] The invention relates to the technical field of news detection, in particular to a method and system for detecting fake news based on a multi-task learning model. Background technique [0002] Social media is a double-edged sword for news distribution. On the one hand, it is cheap, easily accessible, and through rapid dissemination, it allows users to consume and share news. On the other hand, it can generate harmful fake news, that is, some low-quality news that deliberately contains misinformation. The rapid spread of fake news has enormous potential harm to society and individuals. As an example, in the 2016 US presidential election, the most popular fake news spread more widely on Facebook than news from mainstream media. [0003] Therefore, fake news detection in social media has attracted the attention of researchers and politicians. But fake news detection in social media has unique properties and presents new challenges. [0004] First of ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/35G06Q50/00
CPCG06F16/35G06Q50/01G06F9/30036G06F40/30G06F40/284G06N3/08G06V30/268G06V10/82G06N3/044G06N3/045G06F18/2414G06F16/9038G06F16/9035G06F40/205G06F18/24G06F18/2113
Inventor 廖清韩浩丁烨漆舒汉蒋琳王轩
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL