More: Emotion Detection AI Is a $20 Billion Industry. New Research Says It Can't Do What It Claims China's Algorithms of Repression More: Emotion Detection AI Is a $20 Billion Industry. New Research Says It Can't Do What It Claims China's Algorithms of Repression

Research is still being done on how to detect fake news without manual intervention. Detecting fake news by using stylometry-based provenance to track a text's writing style back to its first source has been accepted as one way to solve the challenge. Earlier, researchers from Harvard University and MIT-IBM Watson Lab had come up with an AI-powered tool to recognise AI-generated text. Known as the Giant Language Model Test Room (GLTR), the system works on finding out if a particular piece of writing was produced by a language model algorithm, aka computer or a human. With AI and natural language generation models being used to make fake news, GLTR can be used to differentiate machine-generated text from human-written text to a non-expert reader.