Fake News and Disinformation

From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction.  This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information todayis filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias ­- which gets amplified in harmful data feedback loops. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope.

This book explores the global response to the COVID-19 pandemic, and the role of national and international media and governments in the initial coverage of the developing crisis. With specific chapters written mostly by scholars based in these countries, it examines how the media in India, China, Sri Lanka, Philippines, Taiwan, Bangladesh, New Zealand and the USA responded to this pandemic. The volume particularly addresses their role in both countering and spreading misinformation and in the politicization of the health crisis. The chapters highlight various issues specific to individual countries, such as racism, conspiracy theories, Sinophobia, stigmatization of victims, media bias, and othering.

Technology is breaking politics--what can be done about it?   Artificially intelligent "bot" accounts attack politicians and public figures on social media. Conspiracy theorists publish junk news sites to promote their outlandish beliefs. Campaigners create fake dating profiles to attract young voters. We live in a world of technologies that misdirect our attention, poison our political conversations, and jeopardize our democracies. With massive amounts of social media and public polling data, and in-depth interviews with political consultants, bot writers, and journalists, Philip N. Howard offers ways to take these "lie machines" apart.   Lie Machines is full of riveting behind-the-scenes stories from the world's biggest and most damagingly successful misinformation initiatives--including those used in Brexit and U.S. elections. Howard not only shows how these campaigns evolved from older propaganda operations but also exposes their new powers, gives us insight into their effectiveness, and explains how to shut them down.

This book answers questions such as What is ‘misinformation’? Why does it matter? How does it spread on the internet? How can we counteract its worst effects? The text ends with an author-designed, practical, easy-to-use model allowing users to effectively analyse the quality of trending content.

Disinformation and so-called fake news are contemporary phenomena with rich histories. Disinformation, or the willful introduction of false information for the purposes of causing harm, recalls infamous foreign interference operations in national media systems. Outcries over fake news, or dubious stories with the trappings of news, have coincided with the introduction of new media technologies that disrupt the publication, distribution and consumption of news -- from the so-called rumour-mongering broadsheets centuries ago to the blogosphere recently. Designating a news organization as fake, or der Lügenpresse, has a darker history, associated with authoritarian regimes or populist bombast diminishing the reputation of 'elite media' and the value of inconvenient truths. In a series of empirical studies, using digital methods and data journalism, the authors inquire into the extent to which social media have enabled the penetration of foreign disinformation operations, the widespread publication and spread of dubious content as well as extreme commentators with considerable followings attacking mainstream media as fake.