Abstract
The term ‘fake news’ is now firmly established in public discourse and collective consciousness; Internet disinformation is a serious problem which is capable of shaking the foundations of democracy. One method of detecting fake news is to use machine learning techniques; ideally, these tools should be ‘explainable’. The aim of this paper is to present a set of linguistic features indicative of fabrication of news, to perform a human analysis of these features, to determine the veracity messages by means of artificial intelligence – a machine learning tool, and to test whether a human researcher and the machine learning algorithm recognize fake news by paying attention to the same linguistic features of the messages.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
