Computational Infodemiology
Belief System Mapping and Social Stress
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Beschreibung
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.
This book outlines quantitative and measurable belief system mapping It introduces quantitative social stress indicators for modelling social media belief systems within echo chambers Use cases that public and private institutions can start implementing to derive meaning from the infodemics they face
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Themen in »Computational Infodemiology«
Scale-free Networks eHealth, Public eHealth Computational Infodemiology Infodemiology Misinformation Mapping Beliefs Systems Complex System Mapping Social Stress Indicators Misinformation Mapping Social Media Analytics eReasearch