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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.
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.
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.
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.
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.
Facebook, a platform created by undergraduates in a Harvard dorm room, has transformed the ways millions of people consume news, understand the world, and participate in the political process. Despite taking on many of journalism’s traditional roles, Facebook and other platforms, such as Twitter and Google, have presented themselves as tech companies—and therefore not subject to the same regulations and ethical codes as conventional media organizations. Challenging such superficial distinctions, Philip M. Napoli offers a timely and persuasive case for understanding and governing social media as news media, with a fundamental obligation to serve the public interest. Social Media and the Public Interest explores how and why social media platforms became so central to news consumption and distribution as they met many of the challenges of finding information—and audiences—online. Napoli illustrates the implications of a system in which coders and engineers drive out journalists and editors as the gatekeepers who determine media content. He argues that a social media–driven news ecosystem represents a case of market failure in what he calls the algorithmic marketplace of ideas. To respond, we need to rethink fundamental elements of media governance based on a revitalized concept of the public interest. A compelling examination of the intersection of social media and journalism, Social Media and the Public Interest offers valuable insights for the democratic governance of today’s most influential shapers of news.
To analyse social and behavioural phenomena in our digitalized world, it is necessary to understand the main research opportunities and challenges specific to online and digital data. This book presents an overview of the many techniques that are part of the fundamental toolbox of the digital social scientist. Placing online methods within the wider tradition of social research, Giuseppe Veltri discusses the principles and frameworks that underlie each technique of digital research. This practical guide covers methodological issues such as dealing with different types of digital data, construct validity, representativeness and big data sampling. It looks at different forms of unobtrusive data collection methods (such as web scraping and social media mining) as well as obtrusive methods (including qualitative methods, web surveys and experiments). Special extended attention is given to computational approaches to statistical analysis, text mining and network analysis. Digital Social Research will be a welcome resource for students and researchers across the social sciences and humanities carrying out digital research (or interested in the future of social research).
How elections are reported has important implications for the health of democracy and informed citizenship. But, how informative are the news media during campaigns? What kind of logic do they follow? How well do they serve citizens?e Based on original research as well as the most comprehensive assessment of election studies to date, Cushion and Thomas examine how campaigns are reported in many advanced Western democracies. In doing so, they engage with debates about the mediatization of politics, media systems, information environments, media ownership, regulation, political news, horserace journalism, objectivity, impartiality, agenda-setting, and the relationship between media and democracy more generally. Focusing on the most recent US and UK election campaigns, they consider how the logic of election coverage could be rethought in ways that better serve the democratic needs of citizens. Above all, they argue that election reporting should be driven by a public logic, where the agenda of voters takes centre stage in the campaign and the policies of respective political parties receive more airtime and independent scrutiny. The book is essential reading for scholars and students in political communication and journalism studies, political science, media and communication studies.