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Health information seeking, processing, and sharing

Data Science for Fake News

This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

Information Manipulation and Its Impact Across All Industries

Both misinformation and disinformation lead to lasting misperceptions that can pose dangers to the public. While information manipulation has always existed, modern technology allows for misinformation to spread further and quicker than ever before. Especially during times in which misinformation has a greater potential reach and a more captivated audience, it is important to recognize its impact on society. Information Manipulation and Its Impact Across All Industries focuses on information manipulation in different areas including finance and economy, health, society, and more. It considers the effects of misinformation and disinformation on organizations, human resources, citizens, and governments. Additionally, it describes detection models and approaches of misinformation and disinformation as well as anti-misinformation actions, policies, and laws. Covering topics such as cybersecurity, online health misinformation, and social capital, this book is a dynamic resource for managers, engineers, researchers, lecturers, advanced students, professors, academicians, and professional institutions.