Recently, researchers at Keele University developed a new AI tool capable of identifying fake news with an accuracy of up to 99%, providing crucial support in combating online misinformation. The research team includes Dr. Uchenna Anie from the School of Computer Science and Mathematics, Dr. Sangeeta Sangeeta, and Dr. Patricia Aso-Ayobode. The team employed various machine learning techniques to design a model that scans news content and assesses its credibility. The researchers used an 'ensemble voting' technique, which...

Recently, the British Broadcasting Corporation (BBC) filed a complaint against the American tech giant Apple, citing that a new product launched by Apple inaccurately generated and spread fake news related to the BBC. The product, named 'Apple Intelligence', went live in the UK and used artificial intelligence technology to aggregate notifications from multiple information sources to push information to users. However, among these push notifications, there was a report about New York shooter Luigi Mangion.

Google researchers warn that generative artificial intelligence (GenAI) is endangering the internet with fake content, as Google plays a dual role in this 'war of truth': both as a promoter and a creator. AI misinformation, such as absurd suggestions like 'gluing pizza' or 'eating stones', ultimately requires manual removal. Abuse methods include the manipulation of human likenesses and the fabrication of evidence, primarily aimed at influencing public opinion, fraud, or profit. Although the risks do not yet pose an existential threat, they are becoming increasingly severe, with misuse cases primarily consisting of routine operations that disrupt the normal use of systems, accounting for 90%.

The study reveals that there are perceptual differences between AI-generated fake news and human-made fake news. The survey shows that 12% of participants are willing to share fake news, with no significant difference in sharing willingness between the two sources. Socioeconomic factors influence users' trust levels towards fake news, with conservative participants being more likely to believe AI-generated fake news. The research suggests introducing new labels and enhancing education on the risks of AI-generated fake news, and possible regulatory measures may be needed to protect vulnerable groups.