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Data Feminism
- Narrated by: Teri Schnaubelt
- Length: 7 hrs and 37 mins
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Activists, pundits, politicians, and the press frequently proclaim today's digitally mediated racial justice activism the new civil rights movement. As Charlton D. McIlwain shows in this book, the story of racial justice movement organizing online is much longer and varied than most people know. Beginning with the simultaneous rise of civil rights and computer revolutions in the 1960s, McIlwain, for the first time, chronicles the long relationship between African Americans, computing technology, and the Internet.
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The story of Christine Jorgensen, America's first prominent transsexual, narrated trans embodiment in the postwar era. Her celebrity, however, has obscured other mid-century trans narratives. Their erasure from trans history masks the ways race has figured prominently in the construction and representation of transgender subjects. In Black on Both Sides, C. Riley Snorton identifies multiple intersections between blackness and transness from the mid-19th century to present-day anti-Black and anti-trans legislation and violence.
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Publisher's Summary
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. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics - one that is informed by intersectional feminist thought.
Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."
Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Average Customer RatingsReviews - Please select the tabs below to change the source of reviews.
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Overall5 out of 5 stars
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Performance5 out of 5 stars
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Story5 out of 5 stars
- Elizabeth
- 04-02-22
Brilliant! amust-read for all data scholars
Loved it, brilliant & infinitely illuminating, riveting, could hardly put it down - thank you for writing and recording this book!
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Overall5 out of 5 stars
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Performance4 out of 5 stars
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Story5 out of 5 stars
- Anonymous User
- 11-02-21
Full of interesting and impressive stories and statistics
I really enjoyed listening to this book. It is full of amazing stories which challenges the unbalance distribution of power and resources. Highly recommend.
