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Algorithmic transparency and accountability in the world of work: A mapping study into the activities of trade unions
Algorithm Watch; International Trade Union Confederation (ITUC) (2023), 29 pp.
"This report, prepared by AlgorithmWatch for the ITUC, looks at examples from around the world of how unions are tackling the crucial issues of transparency and regulation in relation to algorithms. It reveals that while there is a substantial and growing body of trade union knowledge and policy, th
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“Shadowbanning is not a thing”: Black box gaslighting and the power to independently know and credibly critique algorithms
Information, Communication & Society, volume 26, issue 6 (2023), pp. 1226-1243
"Efforts to govern algorithms have centerd the ‘black box problem,’or the opacity of algorithms resulting from corporate secrecy and technical complexity. In this article, I conceptualize a related and equally fundamental challenge for governance efforts: black box gaslighting. Black box gasligh
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Media Analytics: Understanding Media, Audiences, and Consumers in the 21st Century
New York; London: Routledge (2023), xxi, 416 pp.
"This textbook takes a case study approach to media and audience analytics. Realizing the best way to understand analytics in the digital age is to practice it, the authors have created a collection of cases using data sets that present real and hypothetical scenarios for students to work through. M
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What Do We Know About Algorithmic Literacy? The Status Quo and a Research Agenda for a Growing Field
New Media & Society, volume 27, issue 2 (2023), pp. 681-701
"The increasing role of algorithms shaping our use of communication technology—particularly on social media—comes with a growth of empirical research attempting to assess how literate users are regarding these algorithms. This rapidly emerging field is marked by great diversity in terms of how i
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A Text Mining Content Analysis Tool for Christian Faith-Based Media Institutions’ Production
Nairobi: Strathmore University, Master Thesis (2023), xiv, 71 pp.
"This research is proposing a new approach for the faith-based media institutions in the creation and production of content. The solution proposed by this research is a text mining content analysis tool that uses data mining techniques including Association, Clustering and Classification in the disc
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AI: Limits and Prospects of Artificial Intelligence
Bielefeld: transcript Verlag (2023), 288 pp.
"The emergence of artificial intelligence has triggered enthusiasm and promise of boundless opportunities as much as uncertainty about its limits. The contributions to this volume explore the limits of AI, describe the necessary conditions for its functionality, reveal its attendant technical and so
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The Dynamics of Influencer Marketing: A Multidisciplinary Approach
London; New York: Routledge (2023), ix, 210 pp.
"YouTube, Instagram, Facebook, Vimeo, Twitter, etc. have their own logics, dynamics and different audiences. This book analyses how the users of these social networks, especially those of YouTube and Instagram, become content prescribers, opinion leaders and, by extension, people of influence. What
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Toward a popular theory of algorithms
Popular Communication, volume 21, issue 1 (2023), pp. 57-70
"This paper establishes dialogs between theories on the popular and critical studies on algorithms and datafication. In doing so, it contributes to reversing the analytical tendency to assume that algorithms have universal effects and that conclusions about “algorithmic power” in the Global Nort
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Data Sharing to Foster Information as a Public Good: The Case of Media Viability and Safety of Journalists in the Digital Ecosystem
Paris: UNESCO (2023), 17 pp.
"Trends towards greater transparency of platforms, in the form of extending cooperation around data, offer benefit to the interests of all stakeholders. This policy brief considers the normative, institutional and technical mechanisms that support access to datasets that are not accessible generally
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Data for Social Good: Non-Profit Sector Data Projects
Singapore: Palgrave Macmillan (2023), xv, 127 pp.
"This open access book provides practical guidance for non-profits and community sector organisations about how to get started with data analytics projects using their own organisations' datasets and open public data. The book shares best practices on collaborative social data projects and methodolo
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Data Ethics Guidebook: Cultivating an Ethical Mindset in Research & Evaluation
Oakland, Cal.: Informing Change (2022), 37 pp.
Atlas der Zivilgesellschaft. Freiheitsrechte unter Druck: Schwerpunkt Digitalisierung
München; Berlin: oekom Verlag; Brot für die Welt (2022), 86 pp.
"Vielfaltig, unzensiert, demokratiefördernd - das ist das Internet, hofften viele Menschen lange. Doch diese Attribute passen aus heutiger Sicht nicht - oder nur teilweise. Denn die großen digitalen Plattformen und das World Wide Web sind beides: Medien der Freiheit und der Kontrolle. Sie helfen d
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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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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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Interrogating Datafication: Towards a Praxeology of Data
Bielefeld: transcript Verlag (2022), 308 pp.
"What constitutes a data practice and how do contemporary digital media technologies reconfigure our understanding of practices in general? Autonomously acting media, distributed digital infrastructures, and sensor-based media environments challenge the conditions of accounting for data practices bo
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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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"The goal of this Data Governance Toolkit is to guide non-profit organizations through the steps and best practices for implementing Data Governance within your organization, while keeping in mind the changing organization IT landscape, enterprise architecture and program deliverables. To support or
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