The integrity of a society is of the most important points of stability which must be maintained. Developments of online social networks allow users to propagate content faster with new advancements. With the potential for disinformation to proliferate it is vital to be able to assess the impact that it can have since it would be a waste of resources to address every possible example of malicious information.

In the effort to model society and the ways which information can shape or direct it; simulations will be of the essence. Given that collections of individuals work together it is a nature choice to consider agent based simulations as a representation of citizens and after training the system it can be used to explore plausible scenarios. The program will show case new approaches and the results that can be deliver. Challenges and new prospects will be discussed from experts in the field with a wealth of experience in the field. Key techniques that have proven to be effective are integrating entropic measures, adaptive societal segmentation, and deep learning in an agent context. Agents can be used to simulate the activities on platforms such as Twitter, and also those of github where users can share programming code. An added benefit of the agent based model is the explainability of the model where the intelligence of the agent can be interpreted more easily than in monolithic stochastic models.