Identifying Fake News from the Variables that Governs the Spread of Fake News

Several researchers have attempted to investigate the processes that govern and support the spread of fake news. This paper collates and identifies these variables. The paper then categorizes these variables based on three key players that are involved in the process: Users, Content, and Social Networks. To complete this task, the authors conducted an extensive review of the literature and a reflection on the key variables that are involved in the process. The paper has identified a total of twenty-seven variables. Then the paper presents a series of tasks to mitigate or eliminate these variables in a holistic process that could be automated to reduce or eliminate fake news propagation. Finally, the paper suggests further research into testing the method in lab conditions.