The project is intended to develop an automated textual analytic system to flag and filter inaccurate or false news online. It will identify major features of fake news compared with non-fake news and use them to develop a detection system with the aid of machine learning through a large sample of legitimate and fake news.
We are expecting to obtain promising research results: (1) classify the fake news into pre-defined distinct types including the verification of the types of fake news at first. (2) automatically detect the different types of fake news.
A real time detection system is expected to be built up based on the research results for sustainable improvement in different application domains. The final product might include the platforms in different languages, especially in Chinese.
Prof. Chin Yuk Lun, Dr Paul Lee, Dr Claire Li, Mr. Lap Pong Cheung
Dr. Li Wan Yin Claire Email: : firstname.lastname@example.org Tel: 3963 5641
7/09/2017 Review on Fake News Detection
16/10/2017 Fact Checking Validating Model-1017
23/10/2017 Factual Claim Validation-1023
30/10/2017 Factual Claim Validation 1031
04/12/2017 on line media features 1204
19/12/2017 Fake news dtection on weibo-1219