Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
Recent social networks' misinformation mitigation approaches tend to investigate how to reduce misinformation by considering a whole-network statistical scale. However, unbalanced misinformation exposures among individuals urge to study fair allocation of mitigation resources. Moreover, the network has random dynamics which change over time. Therefore, we introduce a stochastic and non-stationary …