In the scholarly article Automatic deception detection: Methods for finding fake news it talks about methods to find or detect fake news. The article says that word analysis isn’t enough, and they need to use deep syntax/deeper language structures to accurately predict deception or fake news. When using deep syntax programs the articles say it might not be that sufficient so an alternate is semantic text analysis. This is utilized to indicate the meaning and context of the text and show what it’s talking about. The website claims that this efficient method is 91% accurate. The site says that network approaches are the most important including twitter and other blogs. Linked data are also used to compare data to real information. All of these methods have demonstrated excellent accuracy. These tools make it easier to detect deception in news.  https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/pra2.2015.145052010082