The system uses machine learning algorithms to determine whether a source is factual or fake.
Researchers claimed that the system requires only around 150 articles to detect whether or not a news source is trustworthy.
Researchers from MIT’s CSAIL and Qatar’s Computing Research Institute have developed an effective system on AI (artificial intelligence) which has an ability to detect fake news by evaluating the quality of its source.
The brand-new system uses machine learning algorithms to determine whether a source is factual or politically influenced.
Researchers further claimed that the system requires only around 150 articles to detect whether or not a news source is trustworthy.
Fake news weakens serious media coverage and makes it more tough for journalists to cover significant news stories.
A study by Buzzfeed discovered that the top 20 fake news stories about the 2016 United States Presidential election received more engagement on Facebook than the top 20 election stories from 19 major media channels.
During and after U.S presidential campaign and election, President Trump spread the term “fake news” when he used it to label negative press exposure of his presidency.
