As the impact of fake news has grown, so too have attempts to detect and remove it. I wrote recently about an AI-driven approach developed by the University of Michigan, which is able to accurately spot fake news stories around 76% of the time.
A second system, developed by a team from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) and the Qatar Computing Research Institute (QCRI), are attempting to do likewise. Their approach focuses less on the reliability of individual claims and more on the general reliability of the news sources themselves.
