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Data Feminism: D'ignazio and Klein Call Out Inequality in Data
IEEE Women in Engineering Magazine, 2021Ph.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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New ways of activism: design justice and data feminism
Social Movement Studies, 2021Design 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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Approaching “Data Feminism”: Visualizations to Shed Light on Inequality
Journal of Communication Inquiry, 2022Data 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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Foregrounding the Importance of Knowledge Through Data Feminism
L. Santhosh Kumar, Joshy Mathew
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Materialising Data Feminism – How Textile Designers Are Using Materials to Explore Data Experience
Journal of Textile Design Research and Practice, 2021In our increasingly technology driven world, many human experiences are at risk of falling into the hands of Big Tech who trade, manipulate and design with our data.
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Social Science Research, 2007
Abstract Predominantly female occupations pay less than “male” occupations, even after adjusting for skill demands. The devaluation perspective says that this is because gender bias influences employers’ decisions about the relative pay of occupations.
England, Paula +2 more
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Abstract Predominantly female occupations pay less than “male” occupations, even after adjusting for skill demands. The devaluation perspective says that this is because gender bias influences employers’ decisions about the relative pay of occupations.
England, Paula +2 more
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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), 2018This 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 Dilai, Olena Levchenko
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Review of Data Feminism by Catherine D'Ignazio and Lauren F. Klein (2020, MIT Press).
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The Feminization of Poverty: Claims, Facts, and Data Needs
Population and Development Review, 1998It 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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Data Feminism, by Catherine D’Ignazio and Lauren F. Klein.
The Design Journal, 2020There are many books that flout the beauty of data visualization for the purpose of inspiration.
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