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The rise of fake news in the past decade has brought with it a host ofconsequences, from swaying opinions on elections to generating uncertaintyduring a pandemic. A majority of methods developed to combat disinformationeither focus on fake news content or malicious actors who generate it. However,the virality of fake news is largely dependent upon the users who propagate it.A deeper understanding of these users can contribute to the development of aframework for identifying users who are likely to spread fake news. In thiswork, we study the characteristics and motivational factors of fake newsspreaders on social media with input from psychological theories and behavioralstudies. We then perform a series of experiments to determine if fake newsspreaders can be found to exhibit different characteristics than other users.Further, we investigate our findings by testing whether the characteristics weobserve amongst fake news spreaders in our experiments can be applied to thedetection of fake news spreaders in a real social media environment.

Profiling Fake News Spreaders on Social Media through Psychological and Motivational Factors