Big Data and Democracy, Jai Galliott, Kevin Macnish
Автор: Martin Kleppmann Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ISBN: 1449373321 ISBN-13(EAN): 9781449373320 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Автор: Sharp Gene Название: From Dictatorship to Democracy ISBN: 1846688396 ISBN-13(EAN): 9781846688393 Издательство: Profile Рейтинг: Цена: 9100.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A how-to guide that inspired the Arab Spring.
Автор: Norris Pippa, Inglehart Ronald Название: Cultural Backlash: Trump, Brexit, and Authoritarian Populism ISBN: 1108444423 ISBN-13(EAN): 9781108444422 Издательство: Cambridge Academ Рейтинг: Цена: 29570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: What explains the rise of authoritarian populism in Europe and the US, including Trump and Brexit? The book argues that a backlash against cultural change by older generations triggered these disruptive forces.
Автор: Wolff Richard D. Название: Democracy at Work: The Cure to Capitalism ISBN: 1608462471 ISBN-13(EAN): 9781608462476 Издательство: INGRAM PUBLISHER SERVICES UK Рейтинг: Цена: 13790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A new manifesto for gaining democratic control of our workplaces.
Автор: Grayling A. C. Название: Democracy and Its Crisis ISBN: 1786074060 ISBN-13(EAN): 9781786074065 Издательство: TBS/GBS Рейтинг: Цена: 14510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An urgent exploration of the challenges facing democracy today
Автор: Michael Mann Название: The Dark Side of Democracy ISBN: 0521538548 ISBN-13(EAN): 9780521538541 Издательство: Cambridge Academ Рейтинг: Цена: 32730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Dark Side of Democracy is the most comprehensive study of ethnic cleansing across the world, giving in-depth coverage of terrible cases like Armenia, the Nazi Holocaust, Cambodia, Yugoslavia, and Rwanda, as well as cases of lesser violence in early modern Europe and in contemporary India and Indonesia.
Автор: Daniel J. Fiorino Название: Can Democracy Handle Climate Change? ISBN: 1509523952 ISBN-13(EAN): 9781509523955 Издательство: Wiley Рейтинг: Цена: 36960.00 T Наличие на складе: Поставка под заказ. Описание: Global climate change poses an unprecedented challenge for governments across the world. Small wonder that many experts question whether democracies have the ability to cope with the causes and long-term consequences of a changing climate.
Human attention is in the highest demand it has ever been. The drastic increase in available information has compelled individuals to find a way to sift through the media that is literally at their fingertips. Content recommendation systems have emerged as the technological solution to this social and informational problem, but they’ve also created a bigger crisis in confirming our biases by showing us only, and exactly, what it predicts we want to see.
Data versus Democracy investigates and explores how, in the era of social media, human cognition, algorithmic recommendation systems, and human psychology are all working together to reinforce (and exaggerate) human bias. The dangerous confluence of these factors is driving media narratives, influencing opinions, and possibly changing election results.
In this book, algorithmic recommendations, clickbait, familiarity bias, propaganda, and other pivotal concepts are analyzed and then expanded upon via fascinating and timely case studies: the 2016 US presidential election, Ferguson, GamerGate, international political movements, and more events that come to affect every one of us.
What are the implications of how we engage with information in the digital age? Data versus Democracy explores this topic and an abundance of related crucial questions. We live in a culture vastly different from any that has come before. In a society where engagement is currency, we are the product. Understanding the value of our attention, how organizations operate based on this concept, and how engagement can be used against our best interests is essential in responsibly equipping ourselves against the perils of disinformation.
Who This Book Is For
Individuals who are curious about how social media algorithms work and how they can be manipulated to influence culture. Social media managers, data scientists, data administrators, and educators will find this book particularly relevant to their work.
Автор: Kevin Macnish, Jai Galliott Название: Big Data and Democracy ISBN: 1474463525 ISBN-13(EAN): 9781474463522 Издательство: Bloomsbury Academic Рейтинг: Цена: 105600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Considers the morality of using big data in the political sphere, covering cases from the Snowden leaks to the Brexit referendum
Investigates theories and recommendations for how to align the modern political process with the exponential rise in the availability of digital information
Opens new avenues for thinking about the philosophy and morality of social media, such as Facebook and Twitter, in the context of political decision-making
Sets out and objectively assesses the 'opacity' framework as an appropriate means of dealing with the challenges associated with big data and democracy
What's wrong with targeted advertising in political campaigns? Should we be worried about echo chambers? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges. It brings together original research on the philosophy of big data and democracy from leading international authors, with recent examples - including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks. And it asks whether an ethical compass is available or even feasible in an ever more digitised and monitored world.
Contributors
Ram n Alvarado, University of Oregon, USA.
Thorsten Br nholt, University of Copenhagen, Denmark.
David Douglas, University of Twente, Netherlands.
Carl Fox, University of Leeds, UK.
Jai Galliott, Australian Defence Force Academy, University of New South Wales, Australia.
Phillip Garnett, University of York, UK.
Stephanie Gauttier, University of Twente, Netherlands.
Sarah Hughes, Durham University, UK.
David Kinkead, University of Queensland, Australia.
Wulf Loh, University of Stuttgart, Germany.
Bjorn Lundgren, Royal Institute of Technology (KTH), Stockholm, Sweden.
Kevin Macnish, University of Twente, Netherlands.
John Macwillie, California State University, East Bay (CSUEB), USA.
Steven Mckinlay, Wellington Institute of Technology, New Zealand.
Kieron O'Hara, University of Southampton, UK.
Joe Saunders, Durham University, UK.
Tom Sorell, University of Warwick, UK.
Harald Stelzer, University of Graz, Austria.
Anne Suphan, Hohenheim University, Germany.
Hristina Veljanova, University of Graz, Austria.
Christopher Zirnig, Hohenheim University, Germany.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Kreiss Daniel Название: Prototype Politics: Technology-Intensive Campaigning and the Data of Democracy ISBN: 0199350256 ISBN-13(EAN): 9780199350254 Издательство: Oxford Academ Рейтинг: Цена: 41170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Drawing on an innovative dataset of the professional careers of 628 presidential campaign staffers working in technology from 2004-2012 and interviews with more than 60 staffers, Prototype Politics details how and explains why the Democrats have taken up technology more than Republicans over the past decade.
Автор: Roger Peng Название: Executive Data Science ISBN: 1365121976 ISBN-13(EAN): 9781365121975 Издательство: Неизвестно Рейтинг: Цена: 26030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.
You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
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