Politics Of Big Data

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The Politics and Policies of Big Data

Author : Ann Rudinow Sætnan,Ingrid Schneider,Nicola Green
Publisher : Routledge
Page : 358 pages
File Size : 42,8 Mb
Release : 2018-05-08
Category : Social Science
ISBN : 9781351866545

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The Politics and Policies of Big Data by Ann Rudinow Sætnan,Ingrid Schneider,Nicola Green Pdf

Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.

Politics and Big Data

Author : Andrea Ceron,Luigi Curini,Stefano Maria Iacus
Publisher : Routledge
Page : 196 pages
File Size : 47,6 Mb
Release : 2016-12-19
Category : Political Science
ISBN : 9781317134138

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Politics and Big Data by Andrea Ceron,Luigi Curini,Stefano Maria Iacus Pdf

The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often brief, unverified comments while the unequal age, gender, social and racial representation among social media users can produce inaccurate forecasts of final polls. Reviewing the different techniques employed using social media to nowcast and forecast elections, this book assesses its achievements and limitations while presenting a new technique of "sentiment analysis" to improve upon them. The authors carry out a meta-analysis of the existing literature to show the conditions under which social media-based electoral forecasts prove most accurate while new case studies from France, the United States and Italy demonstrate how much more accurate "sentiment analysis" can prove.

Digital Objects, Digital Subjects

Author : David Chandler,Christian Fuchs
Publisher : University of Westminster Press
Page : 248 pages
File Size : 50,8 Mb
Release : 2019-01-29
Category : Social Science
ISBN : 9781912656097

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Digital Objects, Digital Subjects by David Chandler,Christian Fuchs Pdf

This volume explores activism, research and critique in the age of digital subjects and objects and Big Data capitalism after a digital turn said to have radically transformed our political futures. Optimists assert that the ‘digital’ promises: new forms of community and ways of knowing and sensing, innovation, participatory culture, networked activism, and distributed democracy. Pessimists argue that digital technologies have extended domination via new forms of control, networked authoritarianism and exploitation, dehumanization and the surveillance society. Leading international scholars present varied interdisciplinary assessments of such claims – in theory and via dialogue – and of the digital’s impact on society and the potentials, pitfalls, limits and ideologies, of digital activism. They reflect on whether computational social science, digital humanities and ubiquitous datafication lead to digital positivism that threatens critical research or lead to new horizons in theory and society. An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. KU is a collaborative initiative designed to make high quality books Open Access for the public good. More information about the initiative and details about KU’s Open Access programme can be found at www.knowledgeunlatched.org.

Big Data, Political Campaigning and the Law

Author : Normann Witzleb,Moira Paterson,Janice Richardson
Publisher : Routledge
Page : 206 pages
File Size : 50,6 Mb
Release : 2019-12-06
Category : Computers
ISBN : 9781000747393

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Big Data, Political Campaigning and the Law by Normann Witzleb,Moira Paterson,Janice Richardson Pdf

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.

Big Data and Democracy

Author : Macnish Kevin Macnish
Publisher : Edinburgh University Press
Page : 256 pages
File Size : 54,6 Mb
Release : 2020-06-18
Category : Philosophy
ISBN : 9781474463553

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Big Data and Democracy by Macnish Kevin Macnish Pdf

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.

Digital Discussions

Author : Natalie Jomini Stroud,Shannon McGregor
Publisher : Routledge
Page : 308 pages
File Size : 51,5 Mb
Release : 2018-11-09
Category : Political Science
ISBN : 9781351209410

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Digital Discussions by Natalie Jomini Stroud,Shannon McGregor Pdf

Big data raise major research possibilities for political communication scholars who are interested in how citizens, elites, and journalists interact. With the availability of social media data, academics can observe, on a large scale, how people talk about politics. The opportunity to study political discussions is also available to media organizations and political elites—examining how they make use of big data represents another fruitful scholarly trajectory. The scholars involved in Digital Discussions represent forward thinkers who aim to inform the study of political communication by analyzing the behavior of and messages left by citizens, elites, and journalists in digital spaces. By using a variety of methodological approaches and bringing together diverse theoretical perspectives, this group sheds light on how big data can inform political communication research. It is critical reading for those studying and working in communication studies with a focus on big data.

Data Politics

Author : Didier Bigo,Engin Isin,Evelyn Ruppert
Publisher : Routledge
Page : 305 pages
File Size : 40,9 Mb
Release : 2019-03-13
Category : Political Science
ISBN : 9781351682589

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Data Politics by Didier Bigo,Engin Isin,Evelyn Ruppert Pdf

Data has become a social and political issue because of its capacity to reconfigure relationships between states, subjects, and citizens. This book explores how data has acquired such an important capacity and examines how critical interventions in its uses in both theory and practice are possible. Data and politics are now inseparable: data is not only shaping our social relations, preferences and life chances but our very democracies. Expert international contributors consider political questions about data and the ways it provokes subjects to govern themselves by making rights claims. Concerned with the things (infrastructures of servers, devices, and cables) and language (code, programming, and algorithms) that make up cyberspace, this book demonstrates that without understanding these conditions of possibility it is impossible to intervene in or to shape data politics. Aimed at academics and postgraduate students interested in political aspects of data, this volume will also be of interest to experts in the fields of internet studies, international studies, Big Data, digital social sciences and humanities. The Open Access version of this book, available at https://www.routledge.com/Data-Politics-Worlds-Subjects-Rights/Bigo-Isin-Ruppert/p/book/9781138053267, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Digital Political Participation, Social Networks and Big Data

Author : José Manuel Robles-Morales,Ana María Córdoba-Hernández
Publisher : Springer Nature
Page : 151 pages
File Size : 47,6 Mb
Release : 2019-09-18
Category : Social Science
ISBN : 9783030277574

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Digital Political Participation, Social Networks and Big Data by José Manuel Robles-Morales,Ana María Córdoba-Hernández Pdf

This book explores the changes in political communication in light of the development of a public opinion mediated by web 2.0 technologies. One of the most important changes in political communication is related to the process of disintermediation, i.e. the process by which digital technologies allow citizens to compete in the public space with those agents who, traditionally, co-opted public opinion. However, while disintermediation has undeniably generated a number of advances, having linked citizens to the public debate, the authors highlight some aspects where disintermediation is moving away from a rational and inclusive public space. They argue that these aspects, related to the immediacy, polarization and incivility of the communication, obscure the possibilities for democratization of digital political communication.

Big Data and Analytics Applications in Government

Author : Gregory Richards
Publisher : CRC Press
Page : 195 pages
File Size : 47,9 Mb
Release : 2017-09-18
Category : Business & Economics
ISBN : 9781351649629

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Big Data and Analytics Applications in Government by Gregory Richards Pdf

Within this context, big data analytics (BDA) can be an important tool given that many analytic techniques within the big data world have been created specifically to deal with complexity and rapidly changing conditions. The important task for public sector organizations is to liberate analytics from narrow scientific silos and expand it across internally to reap maximum benefit across their portfolios of programs. This book highlights contextual factors important to better situating the use of BDA within government organizations and demonstrates the wide range of applications of different BDA techniques. It emphasizes the importance of leadership and organizational practices that can improve performance. It explains that BDA initiatives should not be bolted on but should be integrated into the organization’s performance management processes. Equally important, the book includes chapters that demonstrate the diversity of factors that need to be managed to launch and sustain BDA initiatives in public sector organizations.

After Theory, Before Big Data

Author : Friedrich Kratochwil
Publisher : Routledge
Page : 283 pages
File Size : 55,8 Mb
Release : 2021-07-13
Category : Political Science
ISBN : 9781000401646

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After Theory, Before Big Data by Friedrich Kratochwil Pdf

This book’s key purpose is to contribute to the ongoing "theoretical" discussion in the field of international relations (IR) concerning the status of grand theories. However, it also has a wider, critical mission: to challenge mainstream social science and its dominant methodology, as well as the unfettered optimism that the problem of social order can be solved by the "application" of scientific knowledge to our practical problems. The author uses rigorous philosophical analysis to focus on the unexamined assumptions that form the bedrock of many contemporary scholars in IR and demonstrates the unavailability of a universal "scientific" procedure for finding the facts, when we face practical choices and issues of social reproduction. This book will be of interest to upper-level students of IR, sociology, history, and philosophy of science; it will also speak to students of security, foreign policy making, migration, and political economy, in addressing the basis of their attitudes in thinking about the world and the role of scholarship.

Big Data and the Welfare State

Author : Torben Iversen,Philipp Rehm
Publisher : Cambridge University Press
Page : 256 pages
File Size : 46,8 Mb
Release : 2022-05-25
Category : Political Science
ISBN : 9781009240406

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Big Data and the Welfare State by Torben Iversen,Philipp Rehm Pdf

A core principle of the welfare state is that everyone pays taxes or contributions in exchange for universal insurance against social risks such as sickness, old age, unemployment, and plain bad luck. This solidarity principle assumes that everyone is a member of a single national insurance pool, and it is commonly explained by poor and asymmetric information, which undermines markets and creates the perception that we are all in the same boat. Living in the midst of an information revolution, this is no longer a satisfactory approach. This book explores, theoretically and empirically, the consequences of 'big data' for the politics of social protection. Torben Iversen and Philipp Rehm argue that more and better data polarize preferences over public insurance and often segment social insurance into smaller, more homogenous, and less redistributive pools, using cases studies of health and unemployment insurance and statistical analyses of life insurance, credit markets, and public opinion.

Big Data

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 41,6 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Discriminating Data

Author : Wendy Hui Kyong Chun
Publisher : MIT Press
Page : 341 pages
File Size : 41,8 Mb
Release : 2021-11-02
Category : Technology & Engineering
ISBN : 9780262046220

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Discriminating Data by Wendy Hui Kyong Chun Pdf

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.

New Horizons for a Data-Driven Economy

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 51,7 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Politics of Big Data

Author : Director Governance and Institutional Development Division Max Everest-Phillips,Max Everest-Phillips
Publisher : Createspace Independent Publishing Platform
Page : 106 pages
File Size : 44,8 Mb
Release : 2018-01-20
Category : Electronic
ISBN : 1984051288

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Politics of Big Data by Director Governance and Institutional Development Division Max Everest-Phillips,Max Everest-Phillips Pdf

This book offers the first in-depth examination of the political dimensions of big data - and the big data aspects of politics. The author, the Director of the Global Centre for Public Service Excellence in Singapore, suggests that the topic is one of the looming but as yet poorly understood challenges facing humanity from the '4th Industrial Revolution'. The ongoing digital transformation of society and the economy through emerging technologies that include robotics, artificial intelligence, and The Internet of Things will have profound political implications. This book provides the reader with a perspective on how politics and big data are, will and can interact with each other. Current enthusiasms and anxieties about big data's potential need to be understood in broad historical context. Big data will shift the political landscape. The public, civil society, firms, politicians and bureaucrats will increasingly seek to manage the proliferating and deepening usage of Big Data. Big data, along with closely associated technologies, such as 'algorithmic decision making' (that is, accepting recommendations derived from machine learning algorithms that process the big data) shape its potential to shape, gain and contend power. The politics of big data is concerned with the power relations over data, its collection, analysis and use. The state, citizens, civil society, and business all have interests and incentives to gather use, control, influence and subvert big data. Big data is fundamentally different in scale and detail from traditional sources of knowledge. By changing the information on which policy choices are framed and resolved, it will affect, and be affected by politics. By offering unprecedented opportunities and challenges to the ways citizens and governments interact, it will alter the nature of the state and the nature of government. This study concludes that big data politics will therefore reconfigure the power dynamics of elites and shift the social contract between citizen and state.