Digitizing Race

Digitizing Race PDF Author: Lisa Nakamura
Publisher: U of Minnesota Press
ISBN: 1452913307
Category : Computers
Languages : en
Pages : 261

Book Description
Lisa Nakamura refers to case studies of popular yet rarely evaluated uses of the Internet, such as pregnancy websites, instant messaging, and online petitions and quizzes, to look at the emergence of race-, ethnic-, and gender-identified visual cultures.

Cybertypes

Cybertypes PDF Author: Lisa Nakamura
Publisher: Routledge
ISBN: 1135222061
Category : Social Science
Languages : en
Pages : 190

Book Description
First published in 2002. In Cybertypes, Lisa Nakamura turn sour assumption that the Net is color-blind on its head. Examining all facets of everyday web-life, she shows that racial and ethnic stereotypes, or 'cybertypes' are hardwired into our online interactions: Identity tourists masquerade in chat rooms as Asian_Geisha or Alatiniolover. Web directories sharply delimit racial categories. Anonymous computer users are assumed to be white. Lively, provocative, Cybertypes takes up computer relationship between race, ethnicity and technology and offers a candid and nuanced understanding of identity in the information age.

Distributed Blackness

Distributed Blackness PDF Author: André Brock, Jr.
Publisher: NYU Press
ISBN: 1479847224
Category : Social Science
Languages : en
Pages : 282

Book Description
Winner, 2021 Harry Shaw and Katrina Hazzard-Donald Award for Outstanding Work in African-American Popular Culture Studies, given by the Popular Culture Association Winner, 2021 Nancy Baym Annual Book Award, given by the Association of Internet Researchers An explanation of the digital practices of the black Internet From BlackPlanet to #BlackGirlMagic, Distributed Blackness places blackness at the very center of internet culture. André Brock Jr. claims issues of race and ethnicity as inextricable from and formative of contemporary digital culture in the United States. Distributed Blackness analyzes a host of platforms and practices (from Black Twitter to Instagram, YouTube, and app development) to trace how digital media have reconfigured the meanings and performances of African American identity. Brock moves beyond widely circulated deficit models of respectability, bringing together discourse analysis with a close reading of technological interfaces to develop nuanced arguments about how “blackness” gets worked out in various technological domains. As Brock demonstrates, there’s nothing niche or subcultural about expressions of blackness on social media: internet use and practice now set the terms for what constitutes normative participation. Drawing on critical race theory, linguistics, rhetoric, information studies, and science and technology studies, Brock tabs between black-dominated technologies, websites, and social media to build a set of black beliefs about technology. In explaining black relationships with and alongside technology, Brock centers the unique joy and sense of community in being black online now.

Digitize and Punish

Digitize and Punish PDF Author: Brian Jefferson
Publisher: U of Minnesota Press
ISBN: 1452963444
Category : Social Science
Languages : en
Pages : 259

Book Description
Tracing the rise of digital computing in policing and punishment and its harmful impact on criminalized communities of color The U.S. Bureau of Justice Statistics estimates that law enforcement agencies have access to more than 100 million names stored in criminal history databases. In some cities, 80 percent of the black male population is registered in these databases. Digitize and Punish explores the long history of digital computing and criminal justice, revealing how big tech, computer scientists, university researchers, and state actors have digitized carceral governance over the past forty years—with devastating impact on poor communities of color. Providing a comprehensive study of the use of digital technology in American criminal justice, Brian Jefferson shows how the technology has expanded the wars on crime and drugs, enabling our current state of mass incarceration and further entrenching the nation’s racialized policing and punishment. After examining how the criminal justice system conceptualized the benefits of computers to surveil criminalized populations, Jefferson focuses on New York City and Chicago to provide a grounded account of the deployment of digital computing in urban police departments. By highlighting the intersection of policing and punishment with big data and web technology—resulting in the development of the criminal justice system’s latest tool, crime data centers—Digitize and Punish makes clear the extent to which digital technologies have transformed and intensified the nature of carceral power.

Race and Media

Race and Media PDF Author: Lori Kido Lopez
Publisher: NYU Press
ISBN: 1479889318
Category : Social Science
Languages : en
Pages : 340

Book Description
A foundational collection of essays that demonstrate how to study race and media From graphic footage of migrant children in cages to #BlackLivesMatter and #OscarsSoWhite, portrayals and discussions of race dominate the media landscape. Race and Media adopts a wide range of methods to make sense of specific occurrences, from the corporate portrayal of mixed-race identity by 23andMe to the cosmopolitan fetishization of Marie Kondo. As a whole, this collection demonstrates that all forms of media—from the sitcoms we stream to the Twitter feeds we follow—confirm racism and reinforce its ideological frameworks, while simultaneously giving space for new modes of resistance and understanding. In each chapter, a leading media scholar elucidates a set of foundational concepts in the study of race and media—such as the burden of representation, discourses of racialization, multiculturalism, hybridity, and the visuality of race. In doing so, they offer tools for media literacy that include rigorous analysis of texts, ideologies, institutions and structures, audiences and users, and technologies. The authors then apply these concepts to a wide range of media and the diverse communities that engage with them in order to uncover new theoretical frameworks and methodologies. From advertising and music to film festivals, video games, telenovelas, and social media, these essays engage and employ contemporary dialogues and struggles for social justice by racialized communities to push media forward. Contributors include: Mary Beltrán Meshell Sturgis Ralina L. Joseph Dolores Inés Casillas Jennifer Lynn Stoever Jason Kido Lopez Peter X Feng Jacqueline Land Mari Castañeda Jun Okada Amy Villarejo Aymar Jean Christian Sarah Florini Raven Maragh-Lloyd Sulafa Zidani Lia Wolock Meredith D. Clark Jillian M. Báez Miranda J. Brady Kishonna L. Gray Susan Noh

The Digital Black Atlantic

The Digital Black Atlantic PDF Author: Roopika Risam
Publisher: U of Minnesota Press
ISBN: 1452965315
Category : Social Science
Languages : en
Pages : 278

Book Description
Exploring the intersections of digital humanities and African diaspora studies How can scholars use digital tools to better understand the African diaspora across time, space, and disciplines? And how can African diaspora studies inform the practices of digital humanities? These questions are at the heart of this timely collection of essays about the relationship between digital humanities and Black Atlantic studies, offering critical insights into race, migration, media, and scholarly knowledge production. The Digital Black Atlantic spans the African diaspora’s range—from Africa to North America, Europe, and the Caribbean—while its essayists span academic fields—from history and literary studies to musicology, game studies, and library and information studies. This transnational and interdisciplinary breadth is complemented by essays that focus on specific sites and digital humanities projects throughout the Black Atlantic. Covering key debates, The Digital Black Atlantic asks theoretical and practical questions about the ways that researchers and teachers of the African diaspora negotiate digital methods to explore a broad range of cultural forms including social media, open access libraries, digital music production, and video games. The volume further highlights contributions of African diaspora studies to digital humanities, such as politics and representation, power and authorship, the ephemerality of memory, and the vestiges of colonialist ideologies. Grounded in contemporary theory and praxis, The Digital Black Atlantic puts the digital humanities into conversation with African diaspora studies in crucial ways that advance both. Contributors: Alexandrina Agloro, Arizona State U; Abdul Alkalimat; Suzan Alteri, U of Florida; Paul Barrett, U of Guelph; Sayan Bhattacharyya, Singapore U of Technology and Design; Agata Błoch, Institute of History of Polish Academy of Sciences; Michał Bojanowski, Kozminski U; Sonya Donaldson, New Jersey City U; Anne Donlon; Laurent Dubois, Duke U; Amy E. Earhart, Texas A&M U; Schuyler Esprit, U of the West Indies; Demival Vasques Filho, U of Auckland, New Zealand; David Kirkland Garner; Alex Gil, Columbia U; Kaiama L. Glover, Barnard College, Columbia U; D. Fox Harrell, MIT; Hélène Huet, U of Florida; Mary Caton Lingold, Virginia Commonwealth U; Angel David Nieves, San Diego State U; Danielle Olson, MIT; Tunde Opeibi (Ope-Davies), U of Lagos, Nigeria; Jamila Moore Pewu, California State U, Fullerton; Anne Rice, Lehman College, CUNY; Sercan Şengün, Northeastern U; Janneken Smucker, West Chester U; Laurie N.Taylor, U of Florida; Toniesha L. Taylor, Texas Southern U.

Digitized Lives

Digitized Lives PDF Author: T.V. Reed
Publisher: Routledge
ISBN: 1136690034
Category : Social Science
Languages : en
Pages : 332

Book Description
In a remarkably short period of time the Internet and associated digital communication technologies have deeply changed the way millions of people around the globe live their lives. But what is the nature of that impact? In chapters examining a broad range of issues—including sexuality, politics, education, race, gender relations, the environment, and social protest movements—Digitized Lives seeks answers to these central questions: What is truly new about so-called "new media," and what is just hype? How have our lives been made better or worse by digital communication technologies? In what ways can these devices and practices contribute to a richer cultural landscape and a more sustainable society? Cutting through the vast—and often contradictory—literature on these topics, Reed avoids both techno-hype and techno-pessimism, offering instead succinct, witty and insightful discussions of how digital communication is impacting our lives and reshaping the major social issues of our era. The book argues that making sense of digitized culture means looking past the glossy surface of techno gear to ask deeper questions about how we can utilize technology to create a more socially, politically, and economically just world. Companion website available at: culturalpolitics.net/digital_cultures

Discriminating Data

Discriminating Data PDF Author: Wendy Hui Kyong Chun
Publisher: MIT Press
ISBN: 0262046229
Category : Technology & Engineering
Languages : en
Pages : 341

Book Description
How big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt the future by making disruption impossible. Chun, who has a background in systems design engineering as well as media studies and cultural theory, explains that although machine learning algorithms may not officially include race as a category, they embed whiteness as a default. Facial recognition technology, for example, relies on the faces of Hollywood celebrities and university undergraduates—groups not famous for their diversity. Homophily emerged as a concept to describe white U.S. resident attitudes to living in biracial yet segregated public housing. Predictive policing technology deploys models trained on studies of predominantly underserved neighborhoods. Trained on selected and often discriminatory or dirty data, these algorithms are only validated if they mirror this data. How can we release ourselves from the vice-like grip of discriminatory data? Chun calls for alternative algorithms, defaults, and interdisciplinary coalitions in order to desegregate networks and foster a more democratic big data.

When Biometrics Fail

When Biometrics Fail PDF Author: Shoshana Magnet
Publisher: Duke University Press
ISBN: 0822351358
Category : Language Arts & Disciplines
Languages : en
Pages : 226

Book Description
This book examines the proliferation of surveillance technologies&—such as facial recognition software and digital fingerprinting&—that have come to pervade our everyday lives. Often developed as methods to ensure "national security," these technologies are also routinely employed to regulate our personal information, our work lives, what we buy, and how we live.

Pattern Discrimination

Pattern Discrimination PDF Author: Clemens Apprich
Publisher: U of Minnesota Press
ISBN: 1452959277
Category : Social Science
Languages : en
Pages : 155

Book Description
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?
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