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Algorithmic Regimes: Methods, Interactions, and Politics
Amsterdam: Amsterdam University Press (2024), 346 pp.
"Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound impli
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The Oxford Handbook of Digital Ethics
Oxford; New York: Oxford University Press (2024), xvi, 786 pp.
"The Oxford Handbook of Digital Ethics is a lively and authoritative guide to ethical issues related to digital technologies, with a special emphasis on AI. Philosophers with a wide range of expertise cover thirty-seven topics: from the right to have access to internet, to trolling and online shamin
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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