Countering misinformation: A multidisciplinary approach

The article explores the concept of infodemics during COVID-19 pandemic, focusing on propagation false or inaccurate information proliferating worldwide throughout SARS-CoV-2 health crisis. We provide an overview disinformation, misinformation and malinformation discuss notion “fake news”, highlight threats these phenomena bear for policies national international security. mis-/disinformation as a significant challenge to public health, intelligence, policymaking communities necessity design measures enabling prevention, interdiction, mitigation such threats. then present selected opportunities applying technology study combat outlining several approaches currently being used understand, describe, model disinformation. focus specifically complex networks, machine learning, data- text-mining methods in detection, sentiment analysis, agent-based models spreading detection sources network. conclude with set recommendations supporting World Health Organization’s initiative infodemiology. support implementation integrated preventive procedures internationalization infodemic management. also endorse application cross-disciplinary methodology Crime Science discipline, supplemented by Big Data analysis related technologies prevent, disrupt, detect mis- disinformation efficiently.