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Danger of health misinformation online, long a concern of medical and public health professionals, has come to the forefront of societal concerns during the COVID-19 pandemic. Regardless of their motives, creators and sharers of misinformation promote non-evidence-based health advice and treatment recommendations, and often deny health methods, measures, and approaches that are supported by the best evidence of the time. Unfortunately, many infrastructural, social, and cognitive factors make individuals vulnerable to misinformation. This book aims to assist information and health professionals and educators with all phases of information provision and support, from understanding users’ information needs, to building relationships, to helping users verify and evaluate sources. The book can be used as a textbook in library and information science programs, as well as nursing, communication, journalism, psychology, and informatics programs. The book, written from the e-health literacy perspective, is unique in its nuanced approach to misinformation. It draws on psychology and information science to explain human susceptibility to misinformation and discusses ways to engage with the public deeply and meaningfully, fostering trust and raising health and information literacy. It is organized into three parts. Part I: The Ecology of Online Health Information' overviews the digital health information universe, showing that misinformation is prevalent, dangerous, and difficult to define. Part II: Susceptibility to Misinformation: Literacies as Safeguards addresses factors and competencies that affect individual vulnerability and resilience. Part III: Solutions focuses on education and community engagement initiatives that help the public locate and evaluate health information. Chapters within the three Parts discuss technological innovation and social media as posing novel risks as well as presenting novel solutions to helping the public connect with high quality information and building trusting relationships among the public and information and health professionals.
Medical professionals are increasingly engaging with social media in an effort to provide credible evidence-based information and combat the misinformation that patients are finding online and bringing to office visits. Medical professionals are uniquely poised to recognize the harm that can come from applying the incorrect information to decisions affecting one’s health, while they are also able to serve as valued and knowledgeable experts online and engage with patients and the public to provide accurate, up-to-date information. Social Media for Medical Professionals: Strategies for Successfully Engaging in an Online World is a unique, first-of-its-kind resource, providing specific social media strategies for engagement, as well as advice regarding best practices for professionals to maintain at all times. Chapters discuss many aspects pertaining to social media, covering the basics, researching and assessing credible medical information online, and best practices for discussing myths and misconceptions with patients. Later chapters cover the benefits of engaging in social media as a medical professional, strategies for increasing engagement and building an audience, various options and platforms for content creation and finding your niche, dos’s and don’ts regarding patient privacy, and strategies for dealing with negative comments online. A uniquely practical resource, Social Media for Medical Professionals: Strategies for Successfully Engaging in an Online World will be of interest to medical professionals across the spectrum of healthcare, from the student to the seasoned clinician, providing valuable perspective on practicing medicine in an evolving digital world.
"This book is a collective resource with comprehensive knowledge in the areas of misinformation and disinformation, not only about misinformation/ disinformation in social media and politics, but also discusses misinformation and disinformation in other fields particularly organization, health, and the economy"--
A state-of-the-art account of what we know and do not know about the effects of digital technology on democracy.
In the current day and age, objective facts have less influence on opinions and decisions than personal emotions and beliefs. Many individuals rely on their social networks to gather information thanks to social media’s ability to share information rapidly and over a much greater geographic range. However, this creates an overall false balance as people tend to seek out information that is compatible with their existing views and values. They deliberately seek out “facts” and data that specifically support their conclusions and classify any information that contradicts their beliefs as “false news.” Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World is a collection of innovative research on human and automated methods to deter the spread of misinformation online, such as legal or policy changes, information literacy workshops, and algorithms that can detect fake news dissemination patterns in social media. While highlighting topics including source credibility, share culture, and media literacy, this book is ideally designed for social media managers, technology and software developers, IT specialists, educators, columnists, writers, editors, journalists, broadcasters, newscasters, researchers, policymakers, and students.
This volume examines the phenomenon of fake news by bringing together leading experts from different fields within psychology and related areas, and explores what has become a prominent feature of public discourse since the first Brexit referendum and the 2016 US election campaign. Dealing with misinformation is important in many areas of daily life, including politics, the marketplace, health communication, journalism, education, and science. In a general climate where facts and misinformation blur, and are intentionally blurred, this book asks what determines whether people accept and share (mis)information, and what can be done to counter misinformation? All three of these aspects need to be understood in the context of online social networks, which have fundamentally changed the way information is produced, consumed, and transmitted. The contributions within this volume summarize the most up-to-date empirical findings, theories, and applications and discuss cutting-edge ideas and future directions of interventions to counter fake news. Also providing guidance on how to handle misinformation in an age of “alternative facts”, this is a fascinating and vital reading for students and academics in psychology, communication, and political science and for professionals including policy makers and journalists.
We all want to live healthier, happier and longer lives, but too many of us are charmed by charlatans, misled by marketing or scammed by sciencey-sounding salespeople. Dr Brad McKay, Australian GP and science communicator, has seen the rise of misinformation permeate our lives and watched as many of us have turned away from health experts. Too often, we place our trust in online influencers, celebrities and Dr Google when it comes to making important health decisions. Fake Medicine explores the potential dangers of wellness warriors, anti-vaxxers, fad diets, dodgy supplements, alternative practitioners and conspiracy theories. This book is an essential tool for debunking pseudoscience and protecting you and your loved ones from the health scams that surround us. Protect your mind, body and wallet by fighting fake medicine.
Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.
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.
This book shows how disinformation spread by partisan organizations and media platforms undermines institutional legitimacy on which authoritative information depends.