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The Ethical Algorithm: The Science of Socially Aware Alogrithm Design
New York: Oxford University Press (2020), 218 pp.
"Understanding and improving the science behind the algorithms that run our lives is quickly becoming one of the most pressing issues of this century. Traditional solutions, such as laws, regulations and watchdog groups, have proven woefully inadequate, at best. Derived from the cutting-edge of scie
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Citizen Media and Practice: Currents, Connections, Challenges
London; New York: Routledge (2020), xxiv, 266 pp.
The State of Open Data: Histories and Horizons
Deep Insights
Capetown; Ottawa: African Minds; International Development Research Centre (IDRC) (2019), xiii, 574 pp.
"A decade ago, open data was more or less just an idea, emerging as a rough point of consensus for action among pro-democracy practitioners, internet entrepreneurs, open source advocates, civic technology developers, and open knowledge campaigners. Calls for “open data now” offered a powerful cr
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The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power
London: Profile Books (2019), viii, 691 pp.
"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 us. The heady optimism of the Internet's early days is gone. Technologies that we
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Personal Data: Political Persuasion. Inside the Influence Industry - How it Works
Berlin: Tactical Tech (2019), 121 pp.
"This guide categorises data-driven campaigning methods to loosely reflect how value is created along the data pipeline, from acquisition (asset), to analysis (intelligence) to application (influence)." (Page 3)
How to Analyze Social Media? Assessing the Promise of Mixed-Methods Designs for Studying the Twitter Feeds of PMSCs
International Studies Perspectives, volume 20, issue 2 (2019), pp. 188-200
"Social scientists and international relations scholars are increasingly analyzing data collected from Twitter or Facebook to examine political processes in which social media are used. The sheer amount of web 2.0 data and its heterogeneity (including text, photos, and videos), however, pose challen
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La comunicación en el escenario digital: Actualidad, retos y prospectivas
Lima: Pearson Educación de Perú (2019), 879 pp.
"Esta obra colectiva de 25 capítulos cuenta con la visión de más de 60 expertos de la comunicación digital de cinco países y está avalada por grupos de investigación de universidades de primer nivel, así como de resultados de proyectos de investigación europeos e iberoamericanos. Asistimos
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Algo.Rules: Regeln für die Gestaltung algorithmischer Systeme
iRights.Lab; Bertelsmann Stiftung (2019), 7 pp.
"Bei den Algo.Rules handelt es sich um einen Katalog an formalen Kriterien, die beachtet werden müssen, um eine gesellschaftlich förderliche Gestaltung und Überprüfung von algorithmischen Systemen zu ermöglichen und zu erleichtern. Sie legen eine Grundlage für ethische Erwägungen und für die
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Hello World: Was Algorithmen können und wie sie unser Leben verändern
Bonn: Bundeszentrale für politische Bildung (bpb), Sonderausg. (2019), 272 pp.
"Die britische Mathematikerin Hannah Fry stellt Algorithmen als schrittweise Verfahren vor, die dazu dienen, Probleme zu lösen oder ein Ziel zu erreichen. Für Medizin, Polizei, Justiz, Verkehr oder Handel könne das äußert fortschrittlich sein. Doch die bahnbrechende Technik habe ihren Preis - A
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Tech Giants, Artificial Intelligence, and the Future of Journalism
Oxford: Routledge (2019), ix, 190 pp.
"This book examines the impact of the "Big Five" technology companies – Apple, Alphabet/Google, Amazon, Facebook and Microsoft – on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing in
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Data Politics: Worlds, Subjects, Rights
London, New York: Routledge (2019), x, 293 pp.
"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.
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The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms
Bielefeld: transcript Verlag (2019), 331 pp.
"After a long time of neglect, Artificial Intelligence is once again at the center of most of our political, economic, and socio-cultural debates. Recent advances in the field of Artifical Neural Networks have led to a renaissance of dystopian and utopian speculations on an AI-rendered future. Algor
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Good Data
Amsterdam: Institute of Network Cultures (2019), 370 pp.
"Nuestras opiniones y comportamientos, capturados por algoritmos, quedan subordinados a corporaciones globalizadas. El espacio público se vuelve opaco y lejano. La desciudadanización se radicaliza, mientras algunos sectores se reinventan y ganan batallas parciales. Pero los usos neoliberales de la
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Wie Algorithmen verständlich werden: Ideen für Nachvollziehbarkeit von algorithmischen Entscheidungsprozessen für Betroffene
Gütersloh: Bertelsmann Stiftung; Stiftung Neue Verantwortung (2019), 37 pp.
"Algorithmische Entscheidungsprozesse auch für diejenigen transparent und nachvollziehbar zu machen, die von den Entscheidungen betroffen sind, ist wichtig, damit die Betroffenen die Funktionslogik dieser Systeme verstehen, sich kritisch mit ihnen auseinandersetzen, sie wenn nötig anfechten oder a
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Information and Communications for Development 2018: Data-Driven Development
Washington, DC: World Bank (2019), xxi, 152 pp.
"This report shows how governments in developing countries can enhance their use of data to provide better services to citizens. It also shows how the business sector is starting to capitalize on data for competitive advantage. For citizens, the report argues that new tools can allow them to take mo
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The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity
New York: PublicAffairs (2019), 320 pp.
"The Big Nine who will determine the future of artifical intelligence (AI) - Google, Amazon, Apple, Microsoft, IBM, and Facebook in America; and Baidu, Alibaba, and Tencent in China - serve masters with conflicting interests. Wall Street wants profit now without regard to consequences. The Chinese g
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CIGI-Ipsos Global Survey Internet Security & Trust 2019, Part 3: Social Media, Fake News & Algorithms
Ipsos; Centre for International Governance Innovation (2019), 213 slides
"1. Majorities around the globe say that social media has increased their ease of communications & access to information, but are mixed on its impact on civility. On balance, it is seen as a positive, but not without its problems. (slides 8-34). 2. Four in ten (44%) admit to being duped by fake news
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Gender Equality and Big Data: Making Gender Data Visible
UN Women (2018), 25 pp.
"This report provides background context on how big data can be used to facilitate and assess progress towards the SDGs, and focuses in particular on SDG 5 – “Achieve gender equality and empower all women and girls”. It examines successes and challenges in the use of big data to improve the li
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