Filter
132
Breadcrumb:
Algorithms & Big Data
Featured
107
6
2
Topics
18
18
11
10
10
9
7
6
6
6
6
6
5
5
5
5
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Language
Document type
15
10
8
4
4
3
3
1
1
1
1
Countries
Authors & Publishers
Media focus
Publication Years
Methods applied
Journals
Output Type
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
...
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
...
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
...
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
...
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
...
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
...
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
...
Momente der Datafizierung: Zur Produktionsweise von Personendaten in der Datenökonomie
Bielefeld: transcript Verlag (2024), 257 pp.
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
...
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
...
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
...
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
...
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
...
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
...
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
...
“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
...
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
...
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
...
