Results 241 to 250 of about 23,705,907 (286)

Data Feminism Influence on Data Visualization

Atas 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
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Data Feminism

2021
Data Feminism, by Catherine D'Ignazio and Lauren F. Klein, aims to demonstrate to readers how data can be used to "remake the world." Building upon scholarship on intersectional feminism, data science theory, and examples of data projects, the authors formulate seven principles of data feminism aimed at exposing and addressing forces of structural ...
Hale, Meredith L., Wratschko, Karina
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Data Feminism: Teaching and Learning for Justice

Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2021
As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists--and others who rely on data in their work--to ignore.
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The feminization of psychology: Data from South Africa

International Journal of Psychology, 2009
In many countries, women outnumber men in psychology, both as students and as professionals. Much of this information is drawn from Europe and the USA, and the information available about the situation in developing countries is a lot less detailed. The steady increase in the presence of women in psychology in South Africa is examined, via access to ...
Kerry, Skinner, Johann, Louw
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Intersectional Data Feminism

In this chapter, we take digital data as our main protagonist and explore intersectional gendered, racialised, and class implications of datafication. Intersectional data feminism seeks to address the potential reinforcement of systemic biases and intersectional injustices by digitised and data-driven systems, while also proposing interventions through
Laura Candidatu, Koen Leurs
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Data Feminism: D'ignazio and Klein Call Out Inequality in Data

IEEE Women in Engineering Magazine, 2021
Ph.D. candidate Daniene Byrne recently read a book that she says is a must read for people in science, technology, engineering, and mathematics. It?s Data Feminism, a book by data scientists Catherine D'Ignazio and Lauren Klein that presents a way of thinking about data that is informed by both intersectional feminism and a commitment to action.
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Approaching “Data Feminism”: Visualizations to Shed Light on Inequality

Journal of Communication Inquiry, 2022
Data feminism theory believes data visualization that embraces feminism can be used to reshape the world and powerfully reveal inequalities around women, people of color, and other disadvantaged groups. This paper seeks to find visualization works that are close to the thrust of data feminism and discusses their rhetorical, narrative, and other ...
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Discourses Surrounding Feminism in Ukraine: A Sentiment Analysis of Twitter Data

2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2018
This paper outlines the localization of the SentiStrength sentiment analysis program into Ukrainian and its application to tweets on feminism. The SentiStrength algorithm aims at detecting sentiment polarity and strength of a text. Thus, it helps to identify inappropriate affective utterances, associated with discrimination and aggression. The findings
Marianna P. Dilai, Olena Levchenko
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New ways of activism: design justice and data feminism

Social Movement Studies, 2021
Design Justice: Community-Led Practices to Build the Worlds We Need by Sasha Costanza-Chock and Data Feminism by Catherine D’Ignazio and Lauren F.
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The Feminization of Poverty: Claims, Facts, and Data Needs

Population and Development Review, 1998
It is frequently asserted without supporting evidence that 70 percent of the worlds poor are female. This study notes the implausibility of that percentage which would imply some 500 million female poor in excess of male numbers almost entirely among adults. It examines whether there are likely assumptions that could warrant the claim.
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