Tackling the COVID-19 Conspiracies: The Data-Driven Approach

Apart from obvious impact on many aspects of our everyday lives, the current COVID-19 pandemic has led to occurrence many conspiracy theories as side-effect, especially via social media. However, in such confusion among population, the situation becomes even more difficult to handle, which could potentially have even more dramatic consequences on global economy and increase the number of lives lost. In this paper, a data-driven framework for analysis of the facts related to COVID-19 disease is proposed. The proposed implementation leverages semantic knowledge representation, fuzzy reasoning and correlation analysis.