A Fuzzy Model for Combating Misinformation in Social Network Twitter

Abstract

Constant and rapid increase of social media users implies the increase of spread of misinformation in social media networks. One of the leading networks Twitter is becoming significant source of information and news for online users. This research proposes a new approach to the problem of combating misinformation in social media network Twitter. The approach is based on the SI (Epidemic) Fuzzy Model to combat the spread of misinformation on Twitter. The mathematical model is given by a system of differential equations including fuzzy parameters and factors that describe various characteristics of misinformation spread in complex network. We also reflect on current challenges in combating misinformation in social media with the goal to stimulate future research in that domain by pointing out important factors that need to be taken into account while developing a model for combating misinformation.