Abstract
As bots become more prevalent and smarter in the modern age of the
internet, it becomes ever more important that they be identified and
removed. Recent research has dictated that machine learning methods are
accurate and the gold standard of bot identification on social media.
Unfortunately, machine learning models do not come without their
negative aspects such as lengthy training times, difficult feature
selection, and overwhelming pre-processing tasks. To overcome these
difficulties, we are proposing a blockchain framework for bot
identification. At the current time, it is unknown how this method will
perform, but it serves to prove the existence of an overwhelming gap of
research under this area.