This thesis aims to explore the macro social effects of prebunking and disinformation spread in online social net- works with an agent based model for simulation, building on a paper of Klapproth, Unger, Lütke Stockdiek, et al. from 2023. The paper introduced a fundamental agent based model for simulating such dynamic diffusion in an online social network and therefore enabled the authors to understand how the prebunking interventions influence the spread of false information. This work extends the paper by adapting the parameter that determines the chance for each agent to spread its opinion. This model adjustment will make it possible to extend the knowledge already gained to include the influence of the di!erent speeds of dissemination of false and true news on online social media.