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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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“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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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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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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Situating Data: Inquiries in Algorithmic Culture
Amsterdam: Amsterdam University Press (2023), 291 pp.
"Taking up the challenges of the datafication of culture, as well as of the scholarship of cultural inquiry itself, this collection contributes to the critical debate about data and algorithms. How can we understand the quality and significance of current socio-technical transformations that result
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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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Data Ethics Toolkit: A companion to the Data Ethics Guidebook
Oakland, Cal.: Informing Change (2022), 21 pp.
"This Toolkit is a companion resource to the Guidebook for Ethical Thinking. Its contents represent practical tools for putting the Guidebook recommendations into practice, from a one-page map for ethical thinking to customizable consent forms to Stories from the Field." (Page 2)
Private Gatekeepers: Encrypted Messaging Apps and News Audiences
Deep Insights
Washington, DC: Center for International Media Assistance (CIMA) (2022), 20 pp.
"This report examines the widespread use of encrypted messaging apps (EMAs) in developing countries and emerging democracies has prompted news outlets in these regions to experiment with them as mechanisms for distributing the news. From news products designed specifically for sharing via EMAs to pr
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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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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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Data Ethics Guidebook: Cultivating an Ethical Mindset in Research & Evaluation
Oakland, Cal.: Informing Change (2022), 37 pp.
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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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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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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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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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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How Publishers Are Learning to Create and Distribute News on TikTok
Oxford: Reuters Institute for the Study of Journalism (2022), 35 pp.
"This report sets out data on the extent of publisher adoption alongside motivations for joining TikTok; pulls together top tips from TikTok creators and discuss the metrics most commonly used to evaluate success; explores different strategies for engaging users on the platform, highlighting case st
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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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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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