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A report on how internet personalization is controlling and limiting information to users reveals how sites like Google and Facebook only display search results that they believe people are most likely to select, raising a risk that users will become less informed, more biased and increasingly isolated. 50,000 first printing.
There has been much concern over the impact of partisan echo chambers and filter bubbles on public debate. Is this concern justified, or is it distracting us from more serious issues? Axel Bruns argues that the influence of echo chambers and filter bubbles has been severely overstated, and results from a broader moral panic about the role of online and social media in society. Our focus on these concepts, and the widespread tendency to blame platforms and their algorithms for political disruptions, obscure far more serious issues pertaining to the rise of populism and hyperpolarisation in democracies. Evaluating the evidence for and against echo chambers and filter bubbles, Bruns offers a persuasive argument for why we should shift our focus to more important problems. This timely book is essential reading for students and scholars, as well as anyone concerned about challenges to public debate and the democratic process.
Every time we check our feeds we create safety bubbles around ourselves. Thanks to technological algorithms, we are living an increasingly narrow existence, one in which the news we read, the products we purchase, and the people we interact with are tailor-made for each of us. We might feel informed and comfortable, but we are isolating ourselves from anything outside our bubble. Are online filters just an efficient way to connect, or do they spell the end of democracy? Anyone who has read this book will understand the potential dangers of a society whose assumptions are never challenged.
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
This fascinating dictionary covers the whole realm of social media, providing accessible, authoritative, and concise entries centred primarily on websites and applications that enable users to create and share content, or to participate in social networking. From the authors of the popular Dictionary of Media and Communication, Daniel Chandler and Rod Munday, comes a title that complements and supplements their previous dictionary, and that will be of great use to social media marketing specialists, bloggers, and to any general internet user.
Over a decade ago, tech companies began using algorithms to personalize our experience of the web. Using sophisticated technology and vast amounts of consumer data, companies began to predict our tastes better than we could ourselves. In response, ecommerce expanded, and journalism adapted itself to the personalized attention economy. However, there was a hidden side effect, which Eli Pariser termed "the filter bubble," which is the exclusion of other perspectives from our tech-assisted preferences. Raising many hard questions including data security, political propaganda, and the pervasiveness of digital "junk food," filter bubbles reveal the future challenges of a personalized, automated web. Features such as media literacy questions and terms enhance this collection, encouraging readers to analyze reporting styles and devices.
Networks powered by algorithms are pervasive. Major contemporary technology trends - Internet of Things, Big Data, Digital Platform Power, Blockchain, and the Algorithmic Society - are manifestations of this phenomenon. The internet, which once seemed an unambiguous benefit to society, is now the basis for invasions of privacy, massive concentrations of power, and wide-scale manipulation. The algorithmic networked world poses deep questions about power, freedom, fairness, and human agency. The influential 1997 Federal Communications Commission whitepaper “Digital Tornado” hailed the “endless spiral of connectivity” that would transform society, and today, little remains untouched by digital connectivity. Yet fundamental questions remain unresolved, and even more serious challenges have emerged. This important collection, which offers a reckoning and a foretelling, features leading technology scholars who explain the legal, business, ethical, technical, and public policy challenges of building pervasive networks and algorithms for the benefit of humanity. This title is also available as Open Access on Cambridge Core.
This book examines the shifting role of media trust in a digital world, and critically analyzes how news and stories are created, distributed and consumed. Emphasis is placed on the current challenges and possible solutions to regain trust and restore credibility. The book reveals the role of trust in communication, in society and in media, and subsequently addresses media at the crossroads, as evinced by phenomena like gatekeepers, echo chambers and fake news. The following chapters explore truth and trust in journalism, the role of algorithms and robots in media, and the relation between social media and individual trust. The book then presents case studies highlighting how media creates trust in the contexts of: brands and businesses, politics and non-governmental organizations, science and education. In closing, it discusses the road ahead, with a focus on users, writers, platforms and communication in general, and on media competency, skills and education in particular.
This book describes methodologies for developing semantic applications. Semantic applications are software applications which explicitly or implicitly use the semantics, i.e. the meaning of a domain terminology, in order to improve usability, correctness, and completeness. An example is semantic search, where synonyms and related terms are used for enriching the results of a simple text-based search. Ontologies, thesauri or controlled vocabularies are the centerpiece of semantic applications. The book includes technological and architectural best practices for corporate use. The authors are experts from industry and academia with experience in developing semantic applications.