Advocates of computers make sweeping claims for their inherently transformative power: new and different from previous technologies, they are sure to resolve many of our existing social problems, and perhaps even to cause a positive political revolution. In The Cultural Logic of Computation, David Golumbia, who worked as a software designer for more than ten years, confronts this orthodoxy, arguing instead that computers are cultural “all the way down”—that there is no part of the apparent technological transformation that is not shaped by historical and cultural processes, or that escapes existing cultural politics. From the perspective of transnational corporations and governments, computers benefit existing power much more fully than they provide means to distribute or contest it. Despite this, our thinking about computers has developed into a nearly invisible ideology Golumbia dubs “computationalism”—an ideology that informs our thinking not just about computers, but about economic and social trends as sweeping as globalization. Driven by a programmer’s knowledge of computers as well as by a deep engagement with contemporary literary and cultural studies and poststructuralist theory, The Cultural Logic of Computation provides a needed corrective to the uncritical enthusiasm for computers common today in many parts of our culture.

Golumbia, who worked as a software designer for more than ten years, argues that computers are cultural “all the way down”—that there is no part of the apparent technological transformation that is not shaped by historical and cultural processes, or that escapes existing cultural politics.

Since its introduction in 2009, Bitcoin has been widely promoted as a digital currency that will revolutionize everything from online commerce to the nation-state. Yet supporters of Bitcoin and its blockchain technology subscribe to a form of cyberlibertarianism that depends to a surprising extent on far-right political thought. The Politics of Bitcoin exposes how much of the economic and political thought on which this cryptocurrency is based emerges from ideas that travel the gamut, from Milton Friedman, F.A. Hayek, and Ludwig von Mises to Federal Reserve conspiracy theorists. Forerunners: Ideas First is a thought-in-process series of breakthrough digital publications. Written between fresh ideas and finished books, Forerunners draws on scholarly work initiated in notable blogs, social media, conference plenaries, journal articles, and the synergy of academic exchange. This is gray literature publishing: where intense thinking, change, and speculation take place in scholarship.

Emoticons matter. Equal signs do, too. This book takes them seriously and shows how and why they matter. Digital Shift explores the increasingly ubiquitous presence of punctuation and typographical marks in our lives⎯using them as reading lenses to consider a broad range of textual objects and practices across the digital age. Jeff Scheible argues that pronounced shifts in textual practices have occurred with the growing overlap of crucial spheres of language and visual culture, that is, as screen technologies have proliferated and come to form the interface of our everyday existence. Specifically, he demonstrates that punctuation and typographical marks have provided us with a rare opportunity to harness these shifts and make sense of our new media environments. He does so through key films and media phenomena of the twenty-first century, from the popular and familiar to the avant-garde and the obscure: the mass profile-picture change on Facebook to equal signs (by 2.7 million users on a single day in 2013, signaling support for gay marriage); the widely viewed hashtag skit in Jimmy Fallon’s Late Night show; Spike Jonze’s Adaptation; Miranda July’s Me and You and Everyone We Know; Ryan Trecartin’s Comma Boat; and more. Extending the dialogue about media and culture in the digital age in original directions, Digital Shift is a uniquely cross-disciplinary work that reveals the impact of punctuation on the politics of visual culture and everyday life in the digital age.

Digital Modernism examines how and why some of the most innovative works of online electronic literature adapt and allude to literary modernism. Digital literature has been celebrated as a postmodern form that grows out of contemporary technologies, subjectivities, and aesthetics, but this book provides an alternative genealogy. Exemplary cases show electronic literature looking back to modernism for inspiration and source material (in content, form, and ideology) through which to critique contemporary culture. In so doing, this literature renews and reframes, rather than rejects, a literary tradition that it also reconfigures to center around media. To support her argument, Pressman pairs modernist works by Pound, Joyce, and Bob Brown, with major digital works like William Poundstone's "Project for the Tachistoscope: [Bottomless Pit]" (2005), Young-hae Chang Heavy Industries's Dakota, and Judd Morrissey's The Jew's Daughter. With each pairing, she demonstrates how the modernist movement of the 1920s and 1930s laid the groundwork for the innovations of electronic literature. In sum, the study situates contemporary digital literature in a literary genealogy in ways that rewrite literary history and reflect back on literature's past, modernism in particular, to illuminate the crucial role that media played in shaping the ambitions and practices of that period.

How the theoretical tools of literacy help us understand programming in its historical, social and conceptual contexts. The message from educators, the tech community, and even politicians is clear: everyone should learn to code. To emphasize the universality and importance of computer programming, promoters of coding for everyone often invoke the concept of “literacy,” drawing parallels between reading and writing code and reading and writing text. In this book, Annette Vee examines the coding-as-literacy analogy and argues that it can be an apt rhetorical frame. The theoretical tools of literacy help us understand programming beyond a technical level, and in its historical, social, and conceptual contexts. Viewing programming from the perspective of literacy and literacy from the perspective of programming, she argues, shifts our understandings of both. Computer programming becomes part of an array of communication skills important in everyday life, and literacy, augmented by programming, becomes more capacious. Vee examines the ways that programming is linked with literacy in coding literacy campaigns, considering the ideologies that accompany this coupling, and she looks at how both writing and programming encode and distribute information. She explores historical parallels between writing and programming, using the evolution of mass textual literacy to shed light on the trajectory of code from military and government infrastructure to large-scale businesses to personal use. Writing and coding were institutionalized, domesticated, and then established as a basis for literacy. Just as societies demonstrated a “literate mentality” regardless of the literate status of individuals, Vee argues, a “computational mentality” is now emerging even though coding is still a specialized skill.

This book offers an archeology of the undeveloped potential of mathematics for critical theory. As Max Horkheimer and Theodor W. Adorno first conceived of the critical project in the 1930s, critical theory steadfastly opposed the mathematization of thought. Mathematics flattened thought into a dangerous positivism that led reason to the barbarism of World War II. The Mathematical Imagination challenges this narrative, showing how for other German-Jewish thinkers, such as Gershom Scholem, Franz Rosenzweig, and Siegfried Kracauer, mathematics offered metaphors to negotiate the crises of modernity during the Weimar Republic. Influential theories of poetry, messianism, and cultural critique, Handelman shows, borrowed from the philosophy of mathematics, infinitesimal calculus, and geometry in order to refashion cultural and aesthetic discourse. Drawn to the austerity and muteness of mathematics, these friends and forerunners of the Frankfurt School found in mathematical approaches to negativity strategies to capture the marginalized experiences and perspectives of Jews in Germany. Their vocabulary, in which theory could be both mathematical and critical, is missing from the intellectual history of critical theory, whether in the work of second generation critical theorists such as Jürgen Habermas or in contemporary critiques of technology. The Mathematical Imagination shows how Scholem, Rosenzweig, and Kracauer’s engagement with mathematics uncovers a more capacious vision of the critical project, one with tools that can help us intervene in our digital and increasingly mathematical present. The Mathematical Imagination is available from the publisher on an open-access basis.

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.

In The World Computer Jonathan Beller forcefully demonstrates that the history of commodification generates information itself. Out of the omnipresent calculus imposed by commodification, information emerges historically as a new money form. Investigating its subsequent financialization of daily life and colonization of semiotics, Beller situates the development of myriad systems for quantifying the value of people, objects, and affects as endemic to racial capitalism and computation. Built on oppression and genocide, capital and its technical result as computation manifest as racial formations, as do the machines and software of social mediation that feed racial capitalism and run on social difference. Algorithms, derived from for-profit management strategies, conscript all forms of expression—language, image, music, communication—into the calculus of capital such that even protest may turn a profit. Computational media function for the purpose of extraction rather than ameliorating global crises, and financialize every expressive act, converting each utterance into a wager. Repairing this ecology of exploitation, Beller contends, requires decolonizing information and money, and the scripting of futures wagered by the cultural legacies and claims of those in struggle.

Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.