Data Democracy Book

Data Democracy


  • Author : Feras A. Batarseh
  • Publisher : Academic Press
  • Release Date : 2020-01-28
  • Genre: Uncategoriezed
  • Pages : 266
  • ISBN 10 : 0128183667

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Data Democracy Excerpt :

This book provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world's best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. - The future of the data republic, life within a data democracy, and our digital freedoms. - An in-depth analysis of open science, open data, open source software, and their future challenges. - A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology. - The democratization of Artificial Intelligence (AI), and data issues such as: bias, imbalance, context, and knowledge extraction. - A systematic review of AI methods applied to software engineering problems.

Big Data and Democracy Book

Big Data and Democracy


  • Author : Macnish Kevin Macnish
  • Publisher : Edinburgh University Press
  • Release Date : 2020-06-18
  • Genre: Uncategoriezed
  • Pages : 240
  • ISBN 10 : 9781474463553

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Big Data and Democracy Excerpt :

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.

Democratizing Our Data Book

Democratizing Our Data


  • Author : Julia Lane
  • Publisher : MIT Press
  • Release Date : 2021-10-19
  • Genre: Political Science
  • Pages : 192
  • ISBN 10 : 9780262542746

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Democratizing Our Data Excerpt :

Why America's data system is broken, and how to fix it. Why, with data increasingly important, available, valuable and cheap, are the data produced by the American government getting worse and costing more? State and local governments rely on population data from the US Census Bureau; prospective college students and their parents can check data from the National Center for Education Statistics; small businesses can draw on data about employment and wages from the Bureau of Labor Statistics. But often the information they get is out of date or irrelevant, based on surveys--a form of information gathering notorious for low response rates. In A Data Manifesto, Julia Lane argues that bad data is bad for democracy. Her book is a wake-up call to America to fix its broken public data system.

Data versus Democracy Book

Data versus Democracy


  • Author : Kris Shaffer
  • Publisher : Apress
  • Release Date : 2019-07-02
  • Genre: Mathematics
  • Pages : 120
  • ISBN 10 : 9781484245408

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Data versus Democracy Excerpt :

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.

Data Democracy Book

Data Democracy


  • Author : Feras A. Batarseh
  • Publisher : Academic Press
  • Release Date : 2020-01-21
  • Genre: Science
  • Pages : 266
  • ISBN 10 : 9780128189399

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Data Democracy Excerpt :

Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world’s best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. The future of the data republic, life within a data democracy, and our digital freedoms An in-depth analysis of open science, open data, open source software, and their future challenges A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction A systematic review of AI methods applied to software engineering problems

Discriminating Data Book

Discriminating Data


  • Author : Wendy Hui Kyong Chun
  • Publisher : MIT Press
  • Release Date : 2021-11-02
  • Genre: Computers
  • Pages : 344
  • ISBN 10 : 9780262367257

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Discriminating Data Excerpt :

How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.

Weapons of Math Destruction Book
Score: 3.5
From 30 Ratings

Weapons of Math Destruction


  • Author : Cathy O'Neil
  • Publisher : Broadway Books
  • Release Date : 2016
  • Genre: BUSINESS & ECONOMICS
  • Pages : 259
  • ISBN 10 : 9780553418835

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Weapons of Math Destruction Excerpt :

Longlisted for the National Book Award New York Times Bestseller A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric We live in the age of the algorithm. Increasingly, the decisions that affect our lives--where we go to school, whether we get a car loan, how much we pay for health insurance--are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated. But as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination: If a poor student can't get a loan because a lending model deems him too risky (by virtue of his zip code), he's then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. Models are propping up the lucky and punishing the downtrodden, creating a "toxic cocktail for democracy." Welcome to the dark side of Big Data. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort r sum s, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. O'Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change. -- Longlist for National Book Award (Non-Fiction) -- Goodreads, semi-finalist for the 2016 Goodreads Choice Awards (Science and Technology) -- Kirkus, Best Books of 2016 -- New York Times, 100 Notable Books of 2016 (Non-Fiction) -- The

The Age of Surveillance Capitalism Book
Score: 5
From 1 Ratings

The Age of Surveillance Capitalism


  • Author : Shoshana Zuboff
  • Publisher : PublicAffairs
  • Release Date : 2019-01-15
  • Genre: Business & Economics
  • Pages : 704
  • ISBN 10 : 9781610395700

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The Age of Surveillance Capitalism Excerpt :

The challenges to humanity posed by the digital future, the first detailed examination of the unprecedented form of power called "surveillance capitalism," and the quest by powerful corporations to predict and control our behavior. In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in the twenty-first century just as industrial capitalism disfigured the natural world in the twentieth. Zuboff vividly brings to life the consequences as surveillance capitalism advances from Silicon Valley into every economic sector. Vast wealth and power are accumulated in ominous new "behavioral futures markets," where predictions about our behavior are bought and sold, and the production of goods and services is subordinated to a new "means of behavioral modification." The threat has shifted from a totalitarian Big Brother state to a ubiquitous digital architecture: a "Big Other" operating in the interests of surveillance capital. Here is the crucible of an unprecedented form of power marked by extreme concentrations of knowledge and free from democratic oversight. Zuboff's comprehensive and moving analysis lays bare the threats to twenty-first century society: a controlled "hive" of total connection that seduces with promises of total certainty for maximum profit -- at the expense of democracy, freedom, and our human future. With little resistance from law or society, surveillance capitalism is on the verge of dominating the social order and shaping the digital future -- if we let it.

Prototype Politics Book

Prototype Politics


  • Author : Daniel Kreiss
  • Publisher : Oxford University Press
  • Release Date : 2016-06-01
  • Genre: Political Science
  • Pages : 272
  • ISBN 10 : 9780199350278

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Prototype Politics Excerpt :

Given the advanced state of digital technology and social media, one would think that the Democratic and Republican Parties would be reasonably well-matched in terms of their technology uptake and sophistication. But as past presidential campaigns have shown, this is not the case. So what explains this odd disparity? Political scientists have shown that Republicans effectively used the strategy of party building and networking to gain campaign and electoral advantage throughout the twentieth century. In Prototype Politics, Daniel Kreiss argues that contemporary campaigning has entered a new technology-intensive era that the Democratic Party has engaged to not only gain traction against the Republicans, but to shape the new electoral context and define what electoral participation means in the twenty-first century. Prototype Politics provides an analytical framework for understanding why and how campaigns are newly "technology-intensive," and why digital media, data, and analytics are at the forefront of contemporary electoral dynamics. The book discusses the importance of infrastructure, the contexts within which technological innovation happens, and how the collective making of prototypes shapes parties and their technological futures. Drawing on an analysis of the careers of 629 presidential campaign staffers from 2004-2012, as well as interviews with party elites on both sides of the aisle, Prototype Politics details how and why the Democrats invested more in technology, were able to attract staffers with specialized expertise to work in electoral politics, and founded an array of firms to diffuse technological innovations down ballot and across election cycles. Taken together, this book shows how the differences between the major party campaigns on display in 2012 were shaped by their institutional histories since 2004, as well as that of their extended network of allied organizations. In the process, this book argues that scholars need to understand how technol

Big Data  Political Campaigning and the Law Book

Big Data Political Campaigning and the Law


  • Author : Normann Witzleb
  • Publisher : Routledge
  • Release Date : 2019-12-06
  • Genre: Computers
  • Pages : 258
  • ISBN 10 : 9781000747393

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Big Data Political Campaigning and the Law Excerpt :

In this multidisciplinary book, experts from around the globe examine how data-driven political campaigning works, what challenges it poses for personal privacy and democracy, and how emerging practices should be regulated. The rise of big data analytics in the political process has triggered official investigations in many countries around the world, and become the subject of broad and intense debate. Political parties increasingly rely on data analytics to profile the electorate and to target specific voter groups with individualised messages based on their demographic attributes. Political micro-targeting has become a major factor in modern campaigning, because of its potential to influence opinions, to mobilise supporters and to get out votes. The book explores the legal, philosophical and political dimensions of big data analytics in the electoral process. It demonstrates that the unregulated use of big personal data for political purposes not only infringes voters’ privacy rights, but also has the potential to jeopardise the future of the democratic process, and proposes reforms to address the key regulatory and ethical questions arising from the mining, use and storage of massive amounts of voter data. Providing an interdisciplinary assessment of the use and regulation of big data in the political process, this book will appeal to scholars from law, political science, political philosophy and media studies, policy makers and anyone who cares about democracy in the age of data-driven political campaigning.

Data Democratization with Domo Book

Data Democratization with Domo


  • Author : Jeff Burtenshaw
  • Publisher : Packt Publishing Ltd
  • Release Date : 2022-06-17
  • Genre: Computers
  • Pages : 576
  • ISBN 10 : 9781800562981

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Data Democratization with Domo Excerpt :

Overcome data challenges at record speed and cloud-scale that optimize businesses by transforming raw data into dashboards and apps which democratize data consumption, supercharging results with the cloud-based solution, Domo Key Features Acquire data and automate data pipelines quickly for any data volume, variety, and velocity Present relevant stories in dashboards and custom apps that drive favorable outcomes using Domo Share information securely and govern content including Domo content embedded in other tools Book Description Domo is a power-packed business intelligence (BI) platform that empowers organizations to track, analyze, and activate data in record time at cloud scale and performance. Data Democratization with Domo begins with an overview of the Domo ecosystem. You'll learn how to get data into the cloud with Domo data connectors and Workbench; profile datasets; use Magic ETL to transform data; work with in-memory data sculpting tools (Data Views and Beast Modes); create, edit, and link card visualizations; and create card drill paths using Domo Analyzer. Next, you'll discover options to distribute content with real-time updates using Domo Embed and digital wallboards. As you advance, you'll understand how to use alerts and webhooks to drive automated actions. You'll also build and deploy a custom app to the Domo Appstore and find out how to code Python apps, use Jupyter Notebooks, and insert R custom models. Furthermore, you'll learn how to use Auto ML to automatically evaluate dozens of models for the best fit using SageMaker and produce a predictive model as well as use Python and the Domo Command Line Interface tool to extend Domo. Finally, you'll learn how to govern and secure the entire Domo platform. By the end of this book, you'll have gained the skills you need to become a successful Domo master. What you will learn Understand the Domo cloud data warehouse architecture and platform Acquire data with Connectors, Workbench, and Federated Queries

Rethinking the Value of Democracy Book

Rethinking the Value of Democracy


  • Author : Renske Doorenspleet
  • Publisher : Springer
  • Release Date : 2018-07-21
  • Genre: Political Science
  • Pages : 266
  • ISBN 10 : 9783319916569

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Rethinking the Value of Democracy Excerpt :

This book is the first comprehensive analysis of the instrumental value of democracy in a comparative perspective. Based on extensive analyses of quantitative studies from different disciplines, it explores both the expected beneficial and harmful impact of democracy. Democracy’s reputation as delivering peace and development while controlling corruption is an important source of its own legitimacy. Yet, as this book acutely demonstrates, the arguments tend to be normatively driven interventions in ideologically charged policy debates. The book argues that we need neither a utopian framing of democracy as delivering all ‘good things’ in politics nor a cynical one that emphasizes only the ‘dangerous underbelly’ of this form of government. The author also raises critical questions about the value of the study of democracy: the choice for particular concepts and measures, the unknown mechanisms, and the narrow focus on specific instrumental values. This volume will be necessary reading for anyone interested in debates on democracy in the contemporary global context.

Life after Privacy Book

Life after Privacy


  • Author : Firmin DeBrabander
  • Publisher : Cambridge University Press
  • Release Date : 2020-09-08
  • Genre: Law
  • Pages : 180
  • ISBN 10 : 9781108491365

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Life after Privacy Excerpt :

Privacy, which digital citizens eagerly relinquish, is not so essential to the health and welfare of democracy after all.

Global Quality of Democracy as Innovation Enabler Book

Global Quality of Democracy as Innovation Enabler


  • Author : David F.J. Campbell
  • Publisher : Springer
  • Release Date : 2018-10-28
  • Genre: Business & Economics
  • Pages : 509
  • ISBN 10 : 9783319725291

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Global Quality of Democracy as Innovation Enabler Excerpt :

This book assesses the interconnectedness of democracy and economic development. It concentrates on how to conceptualize and to measure democracy and quality of democracy in global comparison. The author makes the argument that a quality-of-democracy understanding based on sustainable development relates crucially with economic growth, but more so with economic development. The empirical macro-model focuses on approximately over hundred countries (in a world model) and covers about a fourteen-year period of 2002-2015, identifying the following basic dimensions as being relevant for further analysis: freedom, equality, control, sustainable development, and self-organization (political self-organization). Readers will appreciate the global perspective the work offers.

Targeted Book
Score: 3
From 2 Ratings

Targeted


  • Author : Brittany Kaiser
  • Publisher : HarperCollins
  • Release Date : 2019-10-22
  • Genre: Political Science
  • Pages : 400
  • ISBN 10 : 9780062965806

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Targeted Excerpt :

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited weaknesses in privacy laws to help elect Donald Trump—and how this could easily happen again in the 2020 presidential election. When Brittany Kaiser joined Cambridge Analytica—the UK-based political consulting firm funded by conservative billionaire and Donald Trump patron Robert Mercer—she was an idealistic young professional working on her fourth degree in human rights law and international relations. A veteran of Barack Obama’s 2008 campaign, Kaiser’s goal was to utilize data for humanitarian purposes, most notably to prevent genocide and human rights abuses. But her experience inside Cambridge Analytica opened her eyes to the tremendous risks that this unregulated industry poses to privacy and democracy. Targeted is Kaiser’s eyewitness chronicle of the dramatic and disturbing story of the rise and fall of Cambridge Analytica. She reveals to the public how Facebook’s lax policies and lack of sufficient national laws allowed voters to be manipulated in both Britain and the United States, where personal data was weaponized to spread fake news and racist messaging during the Brexit vote and the 2016 election. But the damage isn’t done Kaiser warns; the 2020 election can be compromised as well if we continue to do nothing. In the aftermath of the U.S. election, as she became aware of the horrifying reality of what Cambridge Analytica had done in support of Donald Trump, Kaiser made the difficult choice to expose the truth. Risking her career, relationships, and personal safety, she told authorities about the data industry’s unethical business practices, eventually testifying before Parliament about the company’s Brexit efforts and helping Special Counsel Robert Mue