Fake news spread on social networks can cause serious economic, social, and health consequences for internet users. Detecting fake news, thereby limiting its spread and minimizing damage, is an urgent need and is attracting the attention of many research disciplines, including data science and social science and communication. This project aims to build a system that supports users in confirming the authenticity of news spread on social networks by automatically collecting and synthesizing supporting or denying evidence of the news from the Internet.
Objectives of the project
To build the above system, the project needs to research and develop machine learning methods for a number of core problems, including:
- Inferring semantic relationships between multimedia texts
- Inferring semantic relationships between texts in different languages
- Summarize and synthesize multimedia and/or multilingual documents
Project impact
- Allow the development of systems that suit the needs of diverse users to strengthen community efforts in fighting fake news.
- Promote further research in data science and natural language processing, especially for Vietnamese; bring opportunities for training, research and development of advanced technologies in Vietnam.
- Contribute to raising awareness of fake news and its damage in both the research community and society as a whole. Strengthen and encourage further development of platforms to educate users about responsibility in the Internet environment.
