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.

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?

What it means when media moves from the new to the habitual—when our bodies become archives of supposedly obsolescent media, streaming, updating, sharing, saving. New media—we are told—exist at the bleeding edge of obsolescence. We thus forever try to catch up, updating to remain the same. Meanwhile, analytic, creative, and commercial efforts focus exclusively on the next big thing: figuring out what will spread and who will spread it the fastest. But what do we miss in this constant push to the future? In Updating to Remain the Same, Wendy Hui Kyong Chun suggests another approach, arguing that our media matter most when they seem not to matter at all—when they have moved from “new” to habitual. Smart phones, for example, no longer amaze, but they increasingly structure and monitor our lives. Through habits, Chun says, new media become embedded in our lives—indeed, we become our machines: we stream, update, capture, upload, link, save, trash, and troll. Chun links habits to the rise of networks as the defining concept of our era. Networks have been central to the emergence of neoliberalism, replacing “society” with groupings of individuals and connectable “YOUS.” (For isn't “new media” actually “NYOU media”?) Habit is central to the inversion of privacy and publicity that drives neoliberalism and networks. Why do we view our networked devices as “personal” when they are so chatty and promiscuous? What would happen, Chun asks, if, rather than pushing for privacy that is no privacy, we demanded public rights—the right to be exposed, to take risks and to be in public and not be attacked?

A work that bridges media archaeology and visual culture studies argues that the Internet has emerged as a mass medium by linking control with freedom and democracy. How has the Internet, a medium that thrives on control, been accepted as a medium of freedom? Why is freedom increasingly indistinguishable from paranoid control? In Control and Freedom, Wendy Hui Kyong Chun explores the current political and technological coupling of freedom with control by tracing the emergence of the Internet as a mass medium. The parallel (and paranoid) myths of the Internet as total freedom/total control, she says, stem from our reduction of political problems into technological ones. Drawing on the theories of Gilles Deleuze and Michel Foucault and analyzing such phenomena as Webcams and face-recognition technology, Chun argues that the relationship between control and freedom in networked contact is experienced and negotiated through sexuality and race. She traces the desire for cyberspace to cyberpunk fiction and maps the transformation of public/private into open/closed. Analyzing "pornocracy," she contends that it was through cyberporn and the government's attempts to regulate it that the Internet became a marketplace of ideas and commodities. Chun describes the way Internet promoters conflated technological empowerment with racial empowerment and, through close examinations of William Gibson's Neuromancer and Mamoru Oshii's Ghost in the Shell, she analyzes the management of interactivity in narratives of cyberspace. The Internet's potential for democracy stems not from illusory promises of individual empowerment, Chun argues, but rather from the ways in which it exposes us to others (and to other machines) in ways we cannot control. Using fiber optic networks—light coursing through glass tubes—as metaphor and reality, Control and Freedom engages the rich philosophical tradition of light as a figure for knowledge, clarification, surveillance, and discipline, in order to argue that fiber-optic networks physically instantiate, and thus shatter, enlightenment.

Who controls the media today? There are many media systems across the globe that claim to be free yet whose independence has been eroded. As demagogues rise, independent voices have been squeezed out. Corporate-owned media companies that act in the service of power increasingly exercise soft censorship. Tech giants such as Facebook and Google have dramatically changed how people access information, with consequences that are only beginning to be felt. This book features pathbreaking analysis from journalists and academics of the changing nature and peril of media capture—how formerly independent institutions fall under the sway of governments, plutocrats, and corporations. Contributors including Emily Bell, Felix Salmon, Joshua Marshall, Joel Simon, and Nikki Usher analyze diverse cases of media capture worldwide—from the United Kingdom to Turkey to India and beyond—many drawn from firsthand experience. They examine the role played by new media companies and funders, showing how the confluence of the growth of big tech and falling revenues for legacy media has led to new forms of control. Contributions also shed light on how the rise of right-wing populists has catalyzed the crisis of global media. They also chart a way forward, exploring the growing need for a policy response and sustainable models for public-interest investigative journalism. Providing valuable insight into today’s urgent threats to media independence, Media Capture is essential reading for anyone concerned with defending press freedom in the digital age.

Social media platforms hold vast amounts of data about our lives. Content from the past is increasingly being presented in the form of ‘memories’. Critically exploring this new form of memory making, this unique book asks how social media are beginning to change the way we remember.

With the increased digitisation of society comes an increased concern about who is left behind. From societal causes to the impact of everyday actions, The Digital Disconnect explores the relationship between digital and social inequalities, and the lived consequences of digitisation. Ellen Helsper goes beyond questions of digital divides and who is connected. She asks why and how social and digital inequalities are linked and shows the tangible outcomes of socio-digital inequalities in everyday lives. The book: Introduces the key theories and concepts needed to understand both ‘traditional’ and digital inequalities research. Investigates a range of socio-digital inequalities, from digital access and skills, to civic participation, social engagement, and everyday content creation and consumption. Brings research to life with a range of qualitative vignettes, drawing out the personal experiences that lay at the heart of global socio-digital inequalities. The Digital Disconnect is an expert exploration of contemporary theory, research and practice in socio-digital inequalities. It is also an urgent and impassioned call to broaden horizons, expand theoretical and methodological toolkits, and work collectively to help achieve a fairer digital future for all. Ellen J. Helsper is Professor of Digital Inequalities at the Department of Media and Communications at London School of Economics and Political Science.