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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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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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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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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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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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Digitale Gesellschaft
Aus Politik und Zeitgeschichte, volume 72, issue 10-11 (2022), 56 pp.
"Die Coronapandemie hat schonungslos die Schwachstellen der digitalen Gesellschaft aufgedeckt: die Digitalisierungsdefizite der öffentlichen Verwaltung, die schlechte digitale Ausstattung der Schulen und Universitäten, die Monopolstellung internationaler Digitalkonzerne, die Polarisierung in den s
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Topic and Sentiment Analysis of Responses to Muslim Clerics’ Misinformation Correction About COVID-19 Vaccine: Comparison of Three Machine Learning Models
Online Media and Global Communication, volume 1, issue 3 (2022), pp. 497-523
"This study employed three machine learning algorithms, Naïve Bayes, SVM, and a Balanced Random Forest to build a sentiment model that can detect Muslim sentiment about Muslim clerics’ anti-misinformation campaign on YouTube. Overall, 9701 comments were collected. An LDA-based topic model was als
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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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Civic Participation in the Datafied Society: Towards Democratic Auditing?
Data Justice Lab; Cardiff University (2022), 188 pp.
"Digital infrastructure increasingly enables the extraction, exploitation, processing and analysis of personal and behavioural data. Data analytics have not just become the core of the digital economy but also constitute a growing feature of the public sector. Wide areas of public administration are
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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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YouTube Regrets: A Crowdsourced Investigation Into YouTube's Recommendation Algorithm
Mozilla (2021), 39 pp.
"YouTube is the second-most visited website in the world, and its algorithm drives 70% of watch time on the platform—an estimated 700 million hours every single day. For years, that recommendation algorithm has helped spread health misinformation, political disinformation, hateful diatribes, and o
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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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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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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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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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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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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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