Method and system for detecting fake news based on multi-task learning model
US11494648B2 · kind B2 · utility
0Cited by
0References
4Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 22, 2020 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Feb 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/268
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, a system, and a computer program product for detecting fake news based on a multi-task learning model. In an embodiment, a multi-task learning model is used to perform joint training on authenticity detection and topic classification of news to be detected, and authenticity of the news to be detected and a topic of the news to be detected are returned simultaneously. Through the implementation of the embodiment 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.