02875nam 22005655 450 991104910860332120260102122812.03-032-10130-110.1007/978-3-032-10130-3(CKB)44769975400041(MiAaPQ)EBC32470859(Au-PeEL)EBL32470859(DE-He213)978-3-032-10130-3(EXLCZ)994476997540004120260102d2026 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComputational Infodemiology Belief System Mapping and Social Stress /by Herkulaas Combrink1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (94 pages)SpringerBriefs in Computer Science,2191-57763-032-10129-8 Preface -- Chapter 1 Introduction to Computational Infodemiology -- Chapter 2 Agent Based Modelling and Reinforcement Learning in Computational Infodemiology -- Chapter 3 A Framework for Modelling Belief Systems -- Chapter 4 Modelling Belief Systems -- Chapter 5 Social Stress Indicators.Computational Infodemiology is a novel discipline that maps the indicators that underpin digital discourse. Being able to fundamentally map belief systems within a scale free network and provide a framework by which the evolution of belief can be mapped, outlines the impact uncertainty has on an echo chamber and models the spread of misinformation. This book provides the framework and empirical data to outline these scenarios. To map the impact of uncertainty, certain indicators need to be tracked, and within the scale-free network, social stress indicators are introduced. These social stress indicators serve as a proxy for potential harm and can differentiate between low, medium and high levels of harm. By incorporating social stress indicators, belief system mapping becomes viable and possible to model misinformation spread within an echo chamber.SpringerBriefs in Computer Science,2191-5776Artificial intelligenceMachine learningMass mediaMoral and ethical aspectsArtificial IntelligenceMachine LearningMedia EthicsArtificial intelligence.Machine learning.Mass mediaMoral and ethical aspects.Artificial Intelligence.Machine Learning.Media Ethics.006.3Combrink Herkulaas1885325MiAaPQMiAaPQMiAaPQBOOK9911049108603321Computational Infodemiology4520522UNINA