This book addresses increasingly relevant social problems enabled by social media through the lens of system science research and modeling. Instead of evaluating existing patterns from existing social media data, the book focuses on exploring the possibility of various policies. Specifically, it provides fresh insight into the political echo chamber and polarization in social media using agent-based modeling and scenario analysis. The book contains a practical framework to study the factors influencing echo chambers and polarization formation occurring in social media communication. By modeling individual social media users' information consumption, the influence of various behaviors and policies are captured as macro-phenomena. The book also introduces a comprehensive agent-based reinterpretation of the Zaller model, a classic in public opinion research. In addition, the book demonstrates two real-life applications of the model using empirical observations: resolving the conflicting observations of the online echo chamber effect, and modeling the influence of vaccine-related Facebook pages on users' opinions about vaccination.

Autorentext

Muhammad Al Atiqi is a computational social scientist who studied at the Tokyo Institute of Technology. His interest lies in the intersection of technology and society, particularly the influence of internet-related phenomena to human behavior. During his graduate study, he researched on the formation of echo chamber and political polarization in social media and identifying important factors to determine policies to minimize their negative influences. Prior to his research career, he taught university-level physics at Nanyang Technological University in Singapore. Aside from his main work, he is also involved in community organizing projects such as various Indonesian communities overseas and an environmental project to provide clean water in rural Bali.