Computational Infodemiology : Belief System Mapping and Social Stress / / by Herkulaas Combrink

• Autore: Combrink Herkulaas
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (94 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Machine learning; Mass media - Moral and ethical aspects; Artificial Intelligence; Machine Learning; Media Ethics
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Computational Infodemiology
• ISBN: 3-032-10130-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911049108603321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computer Science, . 2191-5776