How to Control Coronavirus Conspiracy Theories in Twitter? A Systems Thinking and Social Networks Modeling Approach

Complexity and dynamicity of the social networks are categorized as NP-hard problems to solve and analyze. These variables on social networks such as actions and interrelationships between the network's users, different behaviors, users' feedbacks and the networks' dynamics make them intractable. Systems thinking and modeling methods orient the relationships between all parts in online social networks. Complexity theories, system dynamics, and game theoretic approaches implemented by system thinkers help investigate the system's local parties' relationships. These methods also present a useful tool to interpret the social networks' complex interactions, dynamic activities in online networks and communities between users and their online dynamic interactions. In this paper, systems thinking concepts and organizational cybernetics are employed to analyze the armed protest demonstration against COVID-19 lockdown at Michigan capitol on May 12th through May 15th on Twitter. Utilizing these methods, we also present a systematic analysis to control, analyze, and comprehend the actions, tweets, and retweets exchanged between users' supporting and opposing the campaign in a complex and dynamic environment.