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Bridging awareness and resistance: Using algorithmic knowledge against controversial content
Big Data & Society, issue October–December (2024), 13 pp.
"Political and moral/religious contents are increasingly popular on TikTok, and the concerns associated with them create the premises for a re-exploration of the user–machine agency negotiation. Using algorithmic awareness as a process, this research examines the relationship between users’ awar
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Repairing the harm: Toward an algorithmic reparations approach to hate speech content moderation
Big Data & Society, issue April-June (2024), 13 pp.
"Content moderation algorithms influence how users understand and engage with social media platforms. However, when identifying hate speech, these automated systems often contain biases that can silence or further harm marginalized users. Recently, scholars have offered both restorative and transfor
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Advancing Cloud and Data Infrastructure Markets: Strategic Directions for Low- and Middle-Income Countries
Washington, DC: World Bank (2024), xx, 139 pp.
Mapping Scholarship on Algorithmic Bias: Conceptualization, Empirical Results, and Ethical Concerns
International Journal of Communication, volume 18 (2024), pp. 548-569
"As artificial intelligence (AI) becomes more seamlessly integrated into our social life, the unfair outcomes and ethical issues associated with AI and its subtechnologies have been widely discussed in scholarly work across disciplines in recent years. This study provides an overview of the conceptu
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Algorithms of Resistance: The Everyday Fight Against Platform Power
Cambridge, Mass.; London: MIT Press (2024), xiii, 241 pp.
"Drawing from rich ethnographic materials and perspectives from both the Global North and South, authors Tiziano Bonini and Emiliano Treré explore how people appropriate and reconfigure algorithms to pursue their objectives in three domains of everyday life: gig work, cultural industries, and polit
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Contesting personalized recommender systems: A cross-country analysis of user preferences
Information, Communication & Society (2024), 20 pp.
"Very Large Online Platforms (VLOPs) such as Instagram, TikTok, and YouTube wield substantial influence over digital information flows using sophisticated algorithmic recommender systems (RS). As these systems curate personalized content, concerns have emerged about their propensity to amplify polar
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A feeling for the algorithm: Diversity, expertise, and artificial intelligence
Big Data & Society (2024), 13 pp.
"Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled out. This lack of clarity is one hurdle to motivating diversity in AI. Another hurdle is that while the most c
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Data Grab: The New Colonialism of Big Tech and How to Fight Back
London: WH Allen (2024), x, 303 pp.
"If you're not paying for the product, then you are the product. In the past, colonialism was a landgrab of natural resources, exploitative labour and private property from developing countries. It made shiny promises to modernise and civilise, but actually sought to control. It made native populati
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Philosophische Digitalisierungsforschung: Verantwortung, Verständigung, Vernunft, Macht
Bielefeld: transcript Verlag (2024), 464 pp.
"Digitalisierung ist nicht nur ein technisches Geschehen, sondern erfasst als machtvoller kultureller Prozess alle Lebensbereiche. Die Einsicht, dass soziotechnische Vorgänge gestaltbar sind, erlaubt eine grundsätzliche Reflexion über die neuen Handlungsmöglichkeiten und Zumutungen sowohl in ind
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Critical Datafication Literacy: A Framework and Practical Approaches
Bielefeld: transcript Verlag (2024), 294 pp.
Despite the increasing influence of data technologies on our world, many people still lack a profound understanding of what this ›datafication‹ means for their lives and our societies. Ina Sander argues that this knowledge gap cannot be addressed by digital skills alone, but that more critical a
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Countering Disinformation Effectively: An Evidence-Based Policy Guide
Key Guides
Washinton, DC: Carnegie Endowment for International Peace (2024), vii, 119 pp.
"This report offers a high-level, evidence-informed guide to some of the major proposals for how democratic governments, platforms, and others can counter disinformation. It distills core insights from empirical research and real-world data on ten diverse kinds of policy interventions, including fac
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Künstliche Intelligenz und ethische Verantwortung
Bielefeld: transcript Verlag (2024), 264 pp.
"Wie sieht ethische Verantwortung im Zeitalter der Digitalisierung, Datafizierung und Künstlichen Intelligenz aus? Die Beiträger*innen geben fundierte Einsichten in die KI-gestützte Entscheidungs- und Urteilsfindung. Von der digitalen Operationalisierung über die Rolle des Menschen im Zentrum de
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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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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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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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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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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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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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