Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.
This book provides in-depth and wide-ranging analyses of the emergence, and subsequent ubiquity, of algorithms in diverse realms of social life. The plurality of Algorithmic Cultures emphasizes: 1) algorithms’ increasing importance in the formation of new epistemic and organizational paradigms; and 2) the multifaceted analyses of algorithms across an increasing number of research fields. The authors in this volume address the complex interrelations between social groups and algorithms in the construction of meaning and social interaction. The contributors highlight the performative dimensions of algorithms by exposing the dynamic processes through which algorithms – themselves the product of a specific approach to the world – frame reality, while at the same time organizing how people think about society. With contributions from leading experts from Media Studies, Social Studies of Science and Technology, Cultural and Media Sociology from Canada, France, Germany, UK and the USA, this volume presents cutting edge empirical and conceptual research that includes case studies on social media platforms, gaming, financial trading and mobile security infrastructures.
Video games have been a central feature of the cultural landscape for over twenty years and now rival older media like movies, television, and music in popularity and cultural influence. Yet there have been relatively few attempts to understand the video game as an independent medium. Most such efforts focus on the earliest generation of text-based adventures (Zork, for example) and have little to say about such visually and conceptually sophisticated games as Final Fantasy X, Shenmue, Grand Theft Auto, Halo, and The Sims, in which players inhabit elaborately detailed worlds and manipulate digital avatars with a vast—and in some cases, almost unlimited—array of actions and choices. In Gaming, Alexander Galloway instead considers the video game as a distinct cultural form that demands a new and unique interpretive framework. Drawing on a wide range of disciplines, particularly critical theory and media studies, he analyzes video games as something to be played rather than as texts to be read, and traces in five concise chapters how the “algorithmic culture” created by video games intersects with theories of visuality, realism, allegory, and the avant-garde. If photographs are images and films are moving images, then, Galloway asserts, video games are best defined as actions. Using examples from more than fifty video games, Galloway constructs a classification system of action in video games, incorporating standard elements of gameplay as well as software crashes, network lags, and the use of cheats and game hacks. In subsequent chapters, he explores the overlap between the conventions of film and video games, the political and cultural implications of gaming practices, the visual environment of video games, and the status of games as an emerging cultural form. Together, these essays offer a new conception of gaming and, more broadly, of electronic culture as a whole, one that celebrates and does not lament the qualities of the digital age. Alexander R. Galloway is assistant professor of culture and communication at New York University and author of Protocol: How Control Exists after Decentralization.
The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.
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
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.
With the ongoing development of algorithmic composition programs and communities of practice expanding, algorithmic music faces a turning point. Joining dozens of emerging and established scholars alongside leading practitioners in the field, chapters in this Handbook both describe the state of algorithmic composition and also set the agenda for critical research on and analysis of algorithmic music. Organized into four sections, chapters explore the music's history, utility, community, politics, and potential for mass consumption. Contributors address such issues as the role of algorithms as co-performers, live coding practices, and discussions of the algorithmic culture as it currently exists and what it can potentially contribute society, education, and ecommerce. Chapters engage particularly with post-human perspectives - what new musics are now being found through algorithmic means which humans could not otherwise have made - and, in reciprocation, how algorithmic music is being assimilated back into human culture and what meanings it subsequently takes. Blending technical, artistic, cultural, and scientific viewpoints, this Handbook positions algorithmic music making as an essentially human activity.
Today, algorithms exercise outsize influence on cultural decision-making, shaping and even reshaping the concept of culture. How were automated, computational processes empowered to perform this work? What forces prompted the emergence of algorithmic culture? Algorithmic Culture Before the Internet is a history of how culture and computation came to be entangled. From Cambridge, England, to Cambridge, Massachusetts, by way of medieval Baghdad, this book pinpoints the critical junctures at which algorithmic culture began to coalesce in language long before it materialized in the technological wizardry of Silicon Valley. Revising and extending the methodology of “keywords,” Ted Striphas examines changing concepts and definitions of culture, including the development of the field of cultural studies, and stresses the importance of language in the history of technology. Offering historical and interdisciplinary perspective on the relationship of culture and computation, this book provides urgently needed context for the algorithmic injustices that beset the world today.
We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choose the media products we consume. As such, we live algorithmic lives. Life, however, is not blindly controlled or determined by algorithms. Nor are we simply victims of an ever-expanding artificial intelligence. Rather than looking at how technologies shape or are shaped by political institutions, this book is concerned with the ways in which informational infrastructure may be considered political in its capacity to shape social and cultural life. It looks specifically at the conditions of algorithmic life -- how algorithms work, both materially and discursively, to create the conditions for sociality and connectivity. The book argues that the most important aspect of algorithms is not what they are in terms of their specific technical details but rather how they become part of social practices and how different people enlist them as powerful brokers of information, communication and society. If we truly want to engage with the promises of automation and predictive analytics entailed by the promises of "big data", we also need to understand the contours of algorithmic life that condition such practices. Setting out to explore both the specific uses of algorithms and the cultural forms they generate, this book offers a novel understanding of the power and politics of algorithmic life as grounded in case studies that explore the material-discursive dimensions of software.
Here, the author assesses our modern book culture by focusing on five key elements including the explosion of retail bookstores like Barnes & Noble and Borders, and the formation of the Oprah Book Club.
