There is a new method of detecting fake news developed by researchers from MIT Computer Science and Artificial Intelligence (CSAI) and Qatar Computing Research Institute (QSRI).  They are using machine learning to establish if a news source is accurate or politically bias in their reporting.  The premise is if the source has published fake news in the past, they are more likely to do it again.  Computers review 150 stories from a source and score their reliability.  They consider language used, their Wikipedia page and structure of URLs.  This method has proven to be 65 -70% accurate.  Preslav Nakov co-author of the study said, “Tools like this could help people give a bit more thought to issues and explore other perspectives that they might not have otherwise considered."

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http://news.mit.edu/2018/mit-csail-machine-learning-system-detects-fake-news-from-source-1004