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Algorithms of Oppression by Safiya Umoja Noble Pdf
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author
Algorithms of Oppression by Safiya Umoja Noble Pdf
As seen in Wired and Time A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for “black girls”—what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls,” the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance—operating as a source for email, a major vehicle for primary and secondary school learning, and beyond—understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century. Safiya Noble discusses search engine bias in an interview with USC Annenberg School for Communication and Journalism
Algorithms of Oppression by Safiya Umoja Noble Pdf
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author
Pattern Discrimination by Clemens Apprich,Wendy Hui Kyong Chun,Florian Cramer,Hito Steyerl Pdf
How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? How do “human” prejudices reemerge in algorithmic cultures allegedly devised to be blind to them? To answer this question, this book investigates a fundamental axiom in computer science: pattern discrimination. By imposing identity on input data, in order to filter—that is, to discriminate—signals from noise, patterns become a highly political issue. Algorithmic identity politics reinstate old forms of social segregation, such as class, race, and gender, through defaults and paradigmatic assumptions about the homophilic nature of connection. Instead of providing a more “objective” basis of decision making, machine-learning algorithms deepen bias and further inscribe inequality into media. Yet pattern discrimination is an essential part of human—and nonhuman—cognition. Bringing together media thinkers and artists from the United States and Germany, this volume asks the urgent questions: How can we discriminate without being discriminatory? How can we filter information out of data without reinserting racist, sexist, and classist beliefs? How can we queer homophilic tendencies within digital cultures?
From everyday apps to complex algorithms, Ruha Benjamin cuts through tech-industry hype to understand how emerging technologies can reinforce White supremacy and deepen social inequity. Benjamin argues that automation, far from being a sinister story of racist programmers scheming on the dark web, has the potential to hide, speed up, and deepen discrimination while appearing neutral and even benevolent when compared to the racism of a previous era. Presenting the concept of the “New Jim Code,” she shows how a range of discriminatory designs encode inequity by explicitly amplifying racial hierarchies; by ignoring but thereby replicating social divisions; or by aiming to fix racial bias but ultimately doing quite the opposite. Moreover, she makes a compelling case for race itself as a kind of technology, designed to stratify and sanctify social injustice in the architecture of everyday life. This illuminating guide provides conceptual tools for decoding tech promises with sociologically informed skepticism. In doing so, it challenges us to question not only the technologies we are sold but also the ones we ourselves manufacture. Visit the book's free Discussion Guide here.
Discussions of race are inevitably fraught with tension, both in opinion and positioning. Too frequently, debates are framed as clear points of opposition—us versus them. And when considering white racial identity, a split between progressive movements and a neoconservative backlash is all too frequently assumed. Taken at face value, it would seem that whites are splintering into antagonistic groups, with differing worldviews, values, and ideological stances. White Bound investigates these dividing lines, questioning the very notion of a fracturing whiteness, and in so doing offers a unique view of white racial identity. Matthew Hughey spent over a year attending the meetings, reading the literature, and interviewing members of two white organizations—a white nationalist group and a white antiracist group. Though he found immediate political differences, he observed surprising similarities. Both groups make meaning of whiteness through a reliance on similar racist and reactionary stories and worldviews. On the whole, this book puts abstract beliefs and theoretical projection about the supposed fracturing of whiteness into relief against the realities of two groups never before directly compared with this much breadth and depth. By examining the similarities and differences between seemingly antithetical white groups, we see not just the many ways of being white, but how these actors make meaning of whiteness in ways that collectively reproduce both white identity and, ultimately, white supremacy.
Emotions, Technology, and Design by Sharon Tettegah,Safiya Noble Pdf
Emotional design explicitly addresses the emotional relationship between the objects and the subjects of design—in this book, the objects are technologies, and the subjects are technology users. The first section delves into the philosophy and theory of emotional design to provide a foundation for the rest of the book, which goes on to discuss emotional design principles, the design and use of emoticons, and then intelligent agents in a variety of settings. A conclusion chapter covers future research and directions. Emotions, Technology, and Design provides a thorough look at how technology design affects emotions and how to use that understanding to in practical applications. Discusses the role of culture, trust, and identity in empathetic technology Presents a framework for using sound to elicit positive emotional responses Details the emotional use of color in design Explores the use of emoticons, earcons, and tactons Addresses the emotional design specific to agent-based environments
WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.
Research ethics in the real world by Kara, Helen Pdf
Research ethics and integrity are growing in importance as academics face increasing pressure to win grants and publish, and universities promote themselves in the competitive HE market. Research Ethics in the Real World is the first book to highlight the links between research ethics and individual, social, professional, institutional, and political ethics. Drawing on Indigenous and Euro-Western research traditions, Helen Kara considers all stages of the research process, from the formulation of a research question to aftercare for participants, data and findings. She argues that knowledge of both ethical approaches is helpful for researchers working in either paradigm. Students, academics, and research ethics experts from around the world contribute real-world perspectives on navigating and managing ethics in practice. Research Ethics in the Real World provides guidance for quantitative, qualitative, and mixed-methods researchers from all disciplines about how to act ethically throughout your research work. This book is invaluable in supporting teachers of research ethics to design and deliver effective courses.
The Burden of Choice examines how recommendations for products, media, news, romantic partners, and even cosmetic surgery operations are produced and experienced online. Fundamentally concerned with how the recommendation has come to serve as a form of control that frames a contemporary American as heteronormative, white, and well off, this book asserts that the industries that use these automated recommendations tend to ignore and obscure all other identities in the service of making the type of affluence they are selling appear commonplace. Focusing on the period from the mid-1990s to approximately 2010 (while this technology was still novel), Jonathan Cohn argues that automated recommendations and algorithms are far from natural, neutral, or benevolent. Instead, they shape and are shaped by changing conceptions of gender, sexuality, race, and class. With its cultural studies and humanities-driven methodologies focused on close readings, historical research, and qualitative analysis, The Burden of Choice models a promising avenue for the study of algorithms and culture.
The story of racial hierarchy in the American film industry The #OscarsSoWhite campaign, and the content of the leaked Sony emails which revealed, among many other things, that a powerful Hollywood insider didn’t believe that Denzel Washington could “open” a western genre film, provide glaring evidence that the opportunities for people of color in Hollywood are limited. In The Hollywood Jim Crow, Maryann Erigha tells the story of inequality, looking at the practices and biases that limit the production and circulation of movies directed by racial minorities. She examines over 1,300 contemporary films, specifically focusing on directors, to show the key elements at work in maintaining “the Hollywood Jim Crow.” Unlike the Jim Crow era where ideas about innate racial inferiority and superiority were the grounds for segregation, Hollywood’s version tries to use economic and cultural explanations to justify the underrepresentation and stigmatization of Black filmmakers. Erigha exposes the key elements at work in maintaining Hollywood’s racial hierarchy, namely the relationship between genre and race, the ghettoization of Black directors to black films, and how Blackness is perceived by the Hollywood producers and studios who decide what gets made and who gets to make it. Erigha questions the notion that increased representation of African Americans behind the camera is the sole answer to the racial inequality gap. Instead, she suggests focusing on the obstacles to integration for African American film directors. Hollywood movies have an expansive reach and exert tremendous power in the national and global production, distribution, and exhibition of popular culture. The Hollywood Jim Crow fully dissects the racial inequality embedded in this industry, looking at alternative ways for African Americans to find success in Hollywood and suggesting how they can band together to forge their own career paths.
Algorithms and the End of Politics by Timcke, Scott Pdf
As the US contends with issues of populism and de-democratization, this timely study considers the impacts of digital technologies on the country’s politics and society. Timcke provides a Marxist analysis of the rise of digital media, social networks and technology giants like Amazon, Apple, Facebook and Microsoft. He looks at the impact of these new platforms and technologies on their users who have made them among the most valuable firms in the world. Offering bold new thinking across data politics and digital and economic sociology, this is a powerful demonstration of how algorithms have come to shape everyday life and political legitimacy in the US and beyond.
The Intersectional Internet by Safiya Umoja Noble,Brendesha M. Tynes Pdf
This volume provides a means of foregrounding new questions, methods, and theories which can be applied to digital media, platforms, and infrastructures. These inquiries include, among others, how representation to hardware, software, computer code, and infrastructures might be implicated in global economic, political, and social systems of control.
Data Feminism by Catherine D'Ignazio,Lauren F. Klein Pdf
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. 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. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.