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Book Review: Data Feminism [PDF]

open access: diamondJournal of eScience Librarianship, 2021
Book review of: Data Feminism by Catherine D'Ignazio and Lauren F. Klein, The MIT Press (2020). Data Feminism combines intersectional feminism and critical data studies to invite the reader to consider: “How can we use data to remake the world?” As non ...
Katherine A. Mika
doaj   +10 more sources

Data Feminism [PDF]

open access: hybridCrimRxiv, 2020
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil.
Catherine D'lgnazio, Lauren F. Klein
semanticscholar   +10 more sources

Data feminism and border ethics: power, invisibility and indeterminacy [PDF]

open access: hybridJournal of Global Ethics, 2023
Human activities are being increasingly regulated by means of technologies. Smart borders regulating human movement are no exception. I argue that the process of digitization – including through AI, Big Data and algorithmic processing – falls short of respecting (fundamental) rights to the extent to which it ignores what I term to be the problem of ...
Georgiana Turculeț
semanticscholar   +4 more sources

Data Feminism [PDF]

open access: bronzeThe AAG Review of Books, 2022
Feminism, at its very core, aims to dismantle systems of oppression; however, the identification of which systems are oppressive and what kinds of beings are harmed by them has been the subject of debate in feminist circles for more than a century ...
Gabriella Subia
semanticscholar   +4 more sources

Enacting Data Feminism in Advocacy Data Work [PDF]

open access: bronzeProceedings of the ACM on Human-Computer Interaction, 2023
In this paper, we present the results of a study that examines the role of data in nonprofit advocacy work. We conducted semi-structured interviews with 25 individuals who play critical roles in the data work of 18 different advocacy organizations. Our analysis reveals five key stakeholders in advocacy data work-beneficiaries, policymakers, funding and
Shiva Darian   +20 more
semanticscholar   +3 more sources

Testing Data Feminism in India

open access: diamondScholars Journal of Arts, Humanities and Social Sciences, 2021
Catherine D’Ignazio and Lauren F.Klein in their book Data Feminism argue that data models reflect existing power structures and social hierarchies. We aim to test this hypothesis in India on Instagram. Instagram is one of the most accessible and politically engaging social media platforms in India which makes its data models appropriate subjects for ...
Shubhankar Kashyap, Avantika Singh
semanticscholar   +3 more sources

Data Feminism Influence on Data Visualization

open access: goldAtas da 23ª Conferência da Associação Portuguesa de Sistemas de Informação, 2023
Data Visualisation is currently seen as a powerful communication tool, as the human mind is more receptive to visual information than words or raw data. However, most existing visualisations are done from an androcentric perspective. This article proposes Data Visualisation from a feminist perspective.
Beatriz Oliveira, Jorge Sá
semanticscholar   +4 more sources

Data Feminism for AI [PDF]

open access: goldThe 2024 ACM Conference on Fairness Accountability and Transparency
This paper presents a set of intersectional feminist principles for conducting equitable, ethical, and sustainable AI research. In Data Feminism (2020), we offered seven principles for examining and challenging unequal power in data science. Here, we present a rationale for why feminism remains deeply relevant for AI research, rearticulate the original
Lauren Klein, Catherine D'Ignazio
semanticscholar   +5 more sources

Taking a critical look at the critical turn in data science: From “data feminism” to transnational feminist data science

open access: goldBig Data & Society, 2022
Through a critical analysis of recent developments in the theory and practice of data science, including nascent feminist approaches to data collection and analysis, this commentary aims to signal the need for a transnational feminist orientation towards data science.
Zhasmina Tacheva
semanticscholar   +4 more sources

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