SOURCE-LINKED INTELLIGENCE

WHat-if: Advanced Simulations for Testing the Effect of the Information Environment on the Functioning of Democracy

CORDIS · observation · Publication date unknown

itizenship, offering a tool for evidence-based policy making in the realm of (social) media quality and regulation. APPROACH: Our innovative approach combines data donation, Agent-Based Modeling and Large Language Models to create the simulation. It is validated using immersive virtual field experiments and by modeling 'what-if' scenarios based on proposed policy interventions and regulation. Co-creation with stakeholders including policy makers and citizens ensures close alignment with their needs. Finally, a critical analysis of the whole empirical chain will give insight into the desirability and legal feasibility of datafication and simulation of the political information environment. IMPACT: Our insights into the role of the political information environment in shaping democratic citizenship will contribute to effective (social) media regulation and interventions. We will significantly contribute to novel Computational Social Science methods: we will integrate advanced AI tools with existing modeling approaches, and use respondent-centered data collection and synthetic data me

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recordType

award

status

SIGNED

region

EU

value

3197385

unit

EUR