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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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Black feminization of poverty: evidence from the U.S. cross-regional data
The Journal of Developing Areas, 2010We explore the issue of feminization of poverty among Black women despite their much improved labor market advantages relative to White women and Black men. Black women generally possess comparable human capital and positive work ethic attributes and characteristics, and face comparable unemployment rates.
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