Data Feminism

Catherine D'Ignazio · Lauren F. Klein

२०२० सेप्टेम्बर · Tantor Media Inc · वाचक Teri Schnaubelt

३.०

२ समीक्षाहरू

अडियोबुक

7 घन्टा 37 मिनेट

पूर्ण

योग्य

रेटिङ र रिभ्यूहरूको पुष्टि गरिएको हुँदैन थप जान्नुहोस्

46 मिनेट को नमुना सुन्न चाहनुहुन्छ? जुनसुकै बेला (अफलाइन हुँदा पनि) सुन्नुहोस्।

थप

इ-पुस्तकमा प्रयेग गर्नुहोस्

यो अडियोबुकका बारेमा

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.

मूल्याङ्कन र समीक्षाहरू

३.०

२ समीक्षाहरू

यो अडियोबुकको मूल्याङ्कन गर्नुहोस्

हामीलाई आफ्नो धारणा बताउनुहोस्।

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