This unique compendium provides a comprehensive overview of the state-of-the-art methods in the extremely "hot" area of online propaganda detection and monitoring. It discusses the difficulties of developing automated methods and systems for online propaganda and misinformation detection, along with the potential contributions of machine learning techniques.The presented methods are built upon the latest AI and Natural Language Processing technologies. Case studies refer to recent events such as the COVID-19 pandemic and the Russian-Ukrainian military conflict.This useful reference text benefits academics, researchers, professionals and graduate students in AI, NLP, machine learning and information sciences.
