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Journals
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Datafication, Power and Control in Development: A Historical Perspective on the Perils and Longevity of Data
Progress in Development Studies, volume 22, issue 4 (2022), pp. 352-373
"The collection, processing, storage and circulation of data are fundamental element of contemporary societies. While the positivistic literature on ‘data revolution’ finds it essential for improving development delivery, critical data studies stress the threats of datafication. In this article,
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Automatisierte Entscheidungssysteme und Diskriminierung: Ursachen verstehen, Fälle erkennen, Betroffene unterstützen. Ein Ratgeber für Antidiskriminierungsstellen
Berlin: Algorithm Watch (2022), 26 pp.
"Diese Publikation ist im Rahmen des Projekts AutoCheck – Handlungsanleitung für den Umgang mit automatisierten Entscheidungssystemen für Antidiskriminierungsstellen entstanden. Sie ist eine erste Einführung in die Diskriminierungsrisiken beim Einsatz von automatisierten Entscheidungssystemen.
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Data Governance, Asian Alternatives: How India and Korea Are Creating New Models and Policies
Washington, DC: Carnegie Endowment for International Peace (2022), 114 pp.
"This volume highlights some of the alternative models that have originated in two major Asian democracies, India and South Korea. It compares these two countries’ distinctive approaches through case studies that demonstrate just how much more complex the world will be than the common-place predic
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Harnessing the Potential of Big Data in Post-Pandemic Southeast Asia
Manila: Asian Development Bank (ADB) (2022), 44 pp.
"This publication is the last of four reports from a regional study completed in 2021 and funded by the technical assistance of the Asian Development Bank (ADB) on Policy Advice for COVID-19 Economic Recovery in Southeast Asia. The project supports the recovery efforts of Southeast Asian countries t
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A Treatment for Viral Deception? Automated Moderation of COVID-19 Disinformation
Universität Innsbruck (2022), 110 pp.
"This paper examines responses to disinformation, in particular those involving automated tools, from a human rights perspective. It provides an introduction to current automated content moderation and curation practices, and to the interrelation between the digital information ecosystem and the phe
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Artificial Communication: How Algorithms Produce Social Intelligence
Cambridge, Mass.: MIT Press (2022), xiv, 184 pp.
"Argues that what makes AI socially relevant and useful is not intelligence at all but something even more human: communication. If machines are going to improve their ability to address ever more important human issues, it will not be because they have learned to think like people, but because we h
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New Perspectives in Critical Data Studies: The Ambivalences of Data Power
Cham: Palgrave Macmillan (2022), xxv, 473 pp.
"This Open Access book examines the ambivalences of data power. Firstly, the ambivalences between global infrastructures and local invisibilities challenge the grand narrative of the ephemeral nature of a global data infrastructure. They make visible local working and living conditions, and the reso
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Access Rules: Freeing Data from Big Tech for a Better Future
Oakland, Cal.: University of California Press (2022), 209 pp.
"Access Rules mounts a strong and hopeful argument for how informational tools at present in the hands of a few could instead become empowering machines for everyone. By forcing data-hoarding companies to open access to their data, we can reinvigorate both our economy and our society. Authors Viktor
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How Big Data Can Bolster Autocratic Legitimacy (Via the Rhetoric of Safety and Convenience)
Tokyo: Toda Peace Institute (2022), 14 pp.
"This Policy Brief examines the different ways in which big data collection serves autocratic agendas by hiding the oppressive potential of heightened surveillance through promises of enhanced safety, convenience, and modernisation. Political actors with autocratic agendas can package their governan
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Super-Scoring? Datengetriebene Sozialtechnologien als neue Bildungsherausforderung
kopaed; Grimme-Institut (2021), 263 pp.
"Beim so genannten „Scoring“ wird einer Person mithilfe algorithmischer Verfahren ein Zahlenwert zugeordnet, um ihr Verhalten zu bewerten und zu beeinflussen. „Super-Scoring“-Praktiken gehen noch weiter und führen Punktesysteme und Skalen aus unterschiedlichen Lebensbereichen zusammen, wie
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Recommended Reading: Amazon’s Algorithms, Conspiracy Theories and Extremist Literature
London: Institute for Strategic Dialogue (ISD) (2021), 22 pp.
"The role of algorithms in propelling conspiracy theories and radicalisation has been brought into sharp focus by the interlocking crises of the past 12 months. Social media platforms have sought to tamp down on algorithmic recommendation of conspiracy theories and extremist content, for example by
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Emerging technology trends: Artificial intelligence and big data for development 4.0
Geneva: ITU (2021), xv, 87 pp.
"Intended as a guide for policy-makers and other stakeholders in crafting a national AI and data strategy for development, the report highlights opportunities and outlines good policy and regulatory practices for implementation, while also flagging key challenges and offering hands-on suggestions in
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Demokratie im digitalen Kapitalismus: Wie Bürger*innen durch Algorithmen ersetzt werden
Bielefeld: transcript Verlag; Bielefeld University Press (2021), 189 pp.
"Seitdem das Fernsehen Politik macht, werden Einwände und Kritik gegen Regierende über den Bildschirm kommuniziert – die Bürger*innen sind in passives Zuschauen gedrängt. Der Aufstieg der sozialen Medien dagegen verspricht neue Möglichkeiten der Teilhabe. Doch wird der öffentliche Raum immer
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Using Big Data for Impact Evaluations
Oxford: Centre of Excellence for Development Impact and Learning (CEDIL) (2021), 7 pp.
"Big data can contribute to the evidence base in development sectors where evaluations are often infeasible due to data issues. Given the rapidly increasing availability of big data and improving computation capacity, there is a great potential for using big data in future impact evaluations. Big da
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The Next Wave of Disruption: Emerging Market Media Use of Artificial Intelligence and Machine Learning. An Overview of New Technology Implementation in Emerging Market Media
Copenhagen: International Media Support (IMS) (2021), 63 pp.
"Just as in the global context, new tools are being used by the media in Latin America and Central and Eastern Europe (CEE). The use of artificial intelligence and machine learning (ALI/ML) is not limited to large, corporate media. But the reality of different news organisations with a variety of bu
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Data for Better Lives
Deep Insights
Washington, DC: World Bank (2021), xviii, 326 pp.
"This report aims to answer two fundamental questions. First, how can data better advance development objectives? Second, what kind of data governance arrangements are needed to support the generation and use of data in a safe, ethical, and secure way while also delivering value equitably? One impor
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Algorithms and Communication
Berlin: Freie Universität Berlin, Institute for Media and Communication Studies (2021), 132 pp.
"The role of algorithms for producing and curating content as well as potential outcomes of these mechanisms is one of the most debated issues in existing communication research. “Communicating algorithms” affect processes of political, social and interpersonal communication. A broad variety of
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