How biodiversity classification, with its ranking of species, has social and political implications as well as implications for the field of information studies. The idea that species live in nature as pure and clear-cut named individuals is a fiction, as scientists well know. According to Robert D. Montoya, classifications are powerful mechanisms and we must better attend to the machinations of power inherent in them, as well as to how the effects of this power proliferate beyond the boundaries of their original intent. We must acknowledge the many ways our classifications are implicated in environmental, ecological, and social justice work—and information specialists must play a role in updating our notions of what it means to classify. In Power of Position , Montoya shows how classifications are systems that relate one entity with other entities, requiring those who construct a system to value an entity's relative importance—by way of its position—within a system of other entities. These practices, says Montoya, are important ways of constituting and exerting power. Classification also has very real-world consequences. An animal classified as protected and endangered, for example, is protected by law. Montoya also discusses the Catalogue of Life, a new kind of composite classification that reconciles many local (“traditional”) taxonomies, forming a unified taxonomic backbone structure for organizing biological data. Finally, he shows how the theories of information studies are applicable to realms far beyond those of biological classification.

A groundbreaking theoretical physicist traces his career, reflecting on the successes and failures, triumphs and insecurities of a life cut short by cancer. The groundbreaking theoretical physicist Joseph Polchinski explained the genesis of his memoir this way: “Having only two bodies of knowledge, myself and physics, I decided to write an autobiography about my development as a theoretical physicist.” In this posthumously published account of his life and work, Polchinski (1954–2018) describes successes and failures, triumphs and insecurities, and the sheer persistence that led to his greatest discoveries. Writing engagingly and accessibly, with the wry humor for which he was known, Polchinski gives theoretical physics a very human face. Polchinski, famous for his contributions to string theory, may have changed the course of modern theoretical physics, but he was a late bloomer—doing most of his important work after the age of forty. His death from brain cancer at sixty-three cut short a career at its peak. Working on the memoir after his diagnosis, using a text-to-speech algorithm because he could no longer read words on a page, he was able to recapitulate his entire career, down to the details of problems he had worked on. For Polchinski, physics went deeper than words. This edition includes photographs from Polchinski's professional and family life, as well as physics explainer boxes, other technical edits, and bibliographic notes by his former student Ahmed Almheiri, a foreword by Andrew Strominger, and an afterword by his wife Dorothy Chun and sons Steven and Daniel.

An argument that social, political, and economic systems maintain power by discarding certain people, places, and things. Discard studies is an emerging field that looks at waste and wasting broadly construed. Rather than focusing on waste and trash as the primary objects of study, discard studies looks at wider systems of waste and wasting to explore how some materials, practices, regions, and people are valued or devalued, becoming dominant or disposable. In this book, Max Liboiron and Josh Lepawsky argue that social, political, and economic systems maintain power by discarding certain people, places, and things. They show how the theories and methods of discard studies can be applied in a variety of cases, many of which do not involve waste, trash, or pollution. Liboiron and Lepawsky consider the partiality of knowledge and offer a theory of scale, exploring the myth that most waste is municipal solid waste produced by consumers; discuss peripheries, centers, and power, using content moderation as an example of how dominant systems find ways to discard; and use theories of difference to show that universalism, stereotypes, and inclusion all have politics of discard and even purification—as exemplified in “inclusive” efforts to broaden the Black Lives Matter movement. Finally, they develop a theory of change by considering “wasting well,” outlining techniques, methods, and propositions for a justice-oriented discard studies that keeps power in view.

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication . Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication , Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but in terms of artificial communication . To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an algorithm—which is not random and is completely controlled, although not by the processes of the human mind. Esposito investigates this by examining the use of algorithms in different areas of social life. She explores the proliferation of lists (and lists of lists) online, explaining that the web works on the basis of lists to produce further lists; the use of visualization; digital profiling and algorithmic individualization, which personalize a mass medium with playlists and recommendations; and the implications of the “right to be forgotten.” Finally, she considers how photographs today seem to be used to escape the present rather than to preserve a memory.

How the tools of STS can be used to understand art and science and the practices of these knowledge-making communities. In Art, Science, and the Politics of Knowledge , Hannah Star Rogers suggests that art and science are not as different from each other as we might assume. She shows how the tools of science and technology studies (STS) can be applied to artistic practice, offering new ways of thinking about people and objects that have largely fallen outside the scope of STS research. Arguing that the categories of art and science are labels with specific powers to order social worlds—and that art and science are best understood as networks that produce knowledge—Rogers shows, through a series of cases, the similarities and overlapping practices of these knowledge communities. The cases, which range from nineteenth-century artisans to contemporary bioartists, illustrate how art can provide the basis for a new subdiscipline called art, science, and technology studies (ASTS), offering hybrid tools for investigating art–science collaborations. Rogers's subjects include the work of father and son glassblowers, the Blaschkas, whose glass models, produced in the nineteenth century for use in biological classification, are now displayed as works of art; the physics photographs of documentary photographer Berenice Abbott; and a bioart lab that produces work functioning as both artwork and scientific output. Finally, Rogers, an STS scholar and contemporary art–science curator, draws on her own work to consider the concept of curation as a form of critical analysis.

The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Contributors first provide a systematic definition of cognitive robotics and a history of developments in the field. They describe in detail five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics. They go on to consider methodologies and concepts, treating topics that include commonly used cognitive robotics platforms and robot simulators, biomimetic skin as an example of a hardware-based approach, machine-learning methods, and cognitive architecture. Finally, they cover the behavioral and cognitive capabilities of a variety of models, experiments, and applications, looking at issues that range from intrinsic motivation and perception to robot consciousness. Cognitive Robotics is aimed at an interdisciplinary audience, balancing technical details and examples for the computational reader with theoretical and experimental findings for the empirical scientist.

Understanding the embedded and disembedded, material and immaterial, territorialized and deterritorialized natures of digital work. Many jobs today can be done from anywhere. Digital technology and widespread internet connectivity allow almost anyone, anywhere, to connect to anyone else to communicate and exchange files, data, video, and audio. In other words, work can be deterritorialized at a planetary scale. This book examines the implications for both work and workers when work is commodified and traded beyond local labor markets. Going beyond the usual “world is flat” globalization discourse, contributors look at both the transformation of work itself and the wider systems, networks, and processes that enable digital work in a planetary market, offering both empirical and theoretical perspectives. The contributors—leading scholars and experts from a range of disciplines—touch on a variety of issues, including content moderation, autonomous vehicles, and voice assistants. They first look at the new experience of work, finding that, despite its planetary connections, labor remains geographically sticky and embedded in distinct contexts. They go on to consider how planetary networks of work can be mapped and problematized, discuss the productive multiplicity and interdisciplinarity of thinking about digital work and its networks, and, finally, imagine how planetary work could be regulated. Contributors Sana Ahmad, Payal Arora, Janine Berg, Antonio A. Casilli, Julie Chen, Christina Colclough, Fabian Ferrari, Mark Graham, Andreas Hackl, Matthew Hockenberry, Hannah Johnston, Martin Krzywdzinski, Johan Lindquist, Joana Moll, Brett Neilson, Usha Raman, Jara Rocha, Jathan Sadowski, Florian A. Schmidt, Cheryll Ruth Soriano, Nick Srnicek, James Steinhoff, Jara Rocha, JS Tan, Paola Tubaro, Moira Weigel, Lin Zhang

A novel defense of abduction, one of the main forms of nondeductive reasoning. With this book, Igor Douven offers the first comprehensive defense of abduction, a form of nondeductive reasoning. Abductive reasoning, which is guided by explanatory considerations, has been under normative pressure since the advent of Bayesian approaches to rationality. Douven argues that, although it deviates from Bayesian tenets, abduction is nonetheless rational. Drawing on scientific results, in particular those from reasoning research, and using computer simulations, Douven addresses the main critiques of abduction. He shows that versions of abduction can perform better than the currently popular Bayesian approaches—and can even do the sort of heavy lifting that philosophers have hoped it would do. Douven examines abduction in detail, comparing it to other modes of inference, explaining its historical roots, discussing various definitions of abduction given in the philosophical literature, and addressing the problem of underdetermination. He looks at reasoning research that investigates how judgments of explanation quality affect people's beliefs and especially their changes of belief. He considers the two main objections to abduction, the dynamic Dutch book argument, and the inaccuracy-minimization argument, and then gives abduction a positive grounding, using agent-based models to show the superiority of abduction in some contexts. Finally, he puts abduction to work in a well-known underdetermination argument, the argument for skepticism regarding the external world.

A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects. Computing has become an essential part of today's primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems—“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving skill; and the “phenomenon-based learning” approach. It then addresses the educational implications of the explosion in AI research, discussing, among other things, the importance of teaching children to be conscientious designers and consumers of AI. Finally, the book examines the increasing influence of physical devices in CT education, considering the learning opportunities offered by robotics. Contributors Harold Abelson, Cynthia Breazeal, Karen Brennan, Michael E. Caspersen, Christian Dindler, Daniella DiPaola, Nardie Fanchamps, Christina Gardner-McCune, Mark Guzdial, Kai Hakkarainen, Fredrik Heintz, Paul Hennissen, H. Ulrich Hoppe, Ole Sejer Iversen, Siu-Cheung Kong, Wai-Ying Kwok, Sven Manske, Jesús Moreno-León, Blakeley H. Payne, Sini Riikonen, Gregorio Robles, Marcos Román-González, Pirita Seitamaa-Hakkarainen, Ju-Ling Shih, Pasi Silander, Lou Slangen, Rachel Charlotte Smith, Marcus Specht, Florence R. Sullivan, David S. Touretzky

How Big Oil can transform itself into Big Green through reparation and decarbonization to rectify the harm it has done through fossil fuels. In From Big Oil to Big Green , Marco Grasso examines the responsibility of the oil and gas industry for the climate crisis and develops a moral framework that lays out its duties of reparation and decarbonization to allay the harm it has done. By framing climate change as a moral issue and outlining the industry's obligation to tackle it, Grasso shows that Big Oil is a central, yet overlooked, agent of climate ethics and policy. Grasso argues that by indiscriminately flooding the global economy with fossil fuels—while convincing the public that halting climate change is a matter of consumer choice, that fossil fuels are synonymous with energy, and that a decarbonized world would take civilization back to the Stone Age—Big Oil is morally responsible for the climate crisis. He explains that it has managed to avoid being held financially accountable for past harm and that its duty of reparation has never been theoretically developed or justified. With this book, he fills those gaps. After making the moral case for climate reparations and their implementation, Grasso develops Big Oil's duty of decarbonization, which entails its transformation into Big Green by phasing out carbon emissions from its processes and, especially, its products.

A proposal that syntax extends to the domain of discourse in making core syntax link to the conversational context. In Syntax in the Treetops , Shigeru Miyagawa proposes that syntax extends into the domain of discourse by making linkages between core syntax and the conversational participants. Miyagawa draws on evidence for this extended syntactic structure from a wide variety of languages, including Basque, Japanese, Italian, Magahi, Newari, Romanian, and Spanish, as well as the language of children with autism. His proposal for what happens at the highest level of the tree structure used by linguists to represent the hierarchical relationships within sentences—“in the treetops”—offers a unique contribution to the new area of study sometimes known as “syntacticization of discourse.” Miyagawa's main point is that syntax provides the basic framework that makes possible the performance of a speech act and the conveyance of meaning; although the role that syntax plays for speech acts is modest, it is critical. He proposes that the speaker-addressee layer and the Commitment Phrase (the speaker's commitment to the addressee of the truthfulness of the proposition) occur together in the syntactic treetops. In each succeeding chapter, Miyagawa examines the working of each layer of the tree and how they interact.

The groundbreaking first book by a major evolutionary biologist, published in 1912, that anticipated current thinking about organismal complexity. Julian Huxley's The Individual in the Animal Kingdom , published in 1912, is a concise and groundbreaking work that is almost entirely unknown today. In it, Huxley analyzes the evolutionary advances in life's organizational complexity, anticipating many of today's ideas about changes in individuality. Huxley's overarching system of concepts and his coherent logical principles were so far ahead of their time that they remain valid to this day. In part, this is because his explicitly Darwinian approach carefully distinguished between the integrated form and function of hierarchies within organisms and loosely defined, nonorganismal ecological communities. In The Individual in the Animal Kingdom , we meet a youthful Huxley who uses his commanding knowledge of natural history to develop a nonreductionist account of life's complexity that aligns with seminal early insights by Darwin, Wallace, Weismann, and Wheeler. As volume editors Richard Gawne and Jacobus Boomsma point out, this work disappeared into oblivion despite its relevance for contemporary research on organismal complexity and major evolutionary transitions. This MIT Press edition gives Huxley's book a second hearing, offering readers a unique vantage point on the discoveries of evolutionary biology past and present.

Experts translate the latest findings on embodied cognition from neuroscience, psychology, and cognitive science to inform teaching and learning pedagogy. Embodied cognition represents a radical shift in conceptualizing cognitive processes, in which cognition develops through mind-body environmental interaction. If this supposition is correct, then the conventional style of instruction—in which students sit at desks, passively receiving information—needs rethinking. Movement Matters considers the educational implications of an embodied account of cognition, describing the latest research applications from neuroscience, psychology, and cognitive science and demonstrating their relevance for teaching and learning pedagogy. The contributors cover a range of content areas, explaining how the principles of embodied cognition can be applied in classroom settings. After a discussion of the philosophical and theoretical underpinnings of embodied cognition, contributors describe its applications in language, including the areas of handwriting, vocabulary, language development, and reading comprehension; STEM areas, emphasizing finger counting and the importance of hand and body gestures in understanding physical forces; and digital learning technologies, including games and augmented reality. Finally, they explore embodied learning in the social-emotional realm, including how emotional granularity, empathy, and mindfulness benefit classroom learning. Movement Matters introduces a new model, translational learning sciences research, for interpreting and disseminating the latest empirical findings in the burgeoning field of embodied cognition. The book provides an up-to-date, inclusive, and essential resource for those involved in educational planning, design, and pedagogical approaches. Contributors Dor Abrahamson, Martha W. Alibali, Petra A. Arndt, Lisa Aziz-Zadeh, Jo Boaler, Christiana Butera, Rachel S. Y. Chen, Charles P. Davis, Andrea Marquardt Donovan, Inge-Marie Eigsti, Virginia J. Flood, Jennifer M. B. Fugate, Arthur M. Glenberg, Ligia E. Gómez, Daniel D. Hutto, Karin H. James, Mina C. Johnson-Glenberg, Michael P. Kaschak, Markus Kiefer, Christina Krause, Sheila L. Macrine, Anne Mangen, Carmen Mayer, Amanda L. McGraw, Colleen Megowan-Romanowicz, Mitchell J. Nathan, Antti Pirhonen, Kelsey E. Schenck, Lawrence Shapiro, Anna Shvarts, Yue-Ting Siu, Sofia Tancredi, Chrystian Vieyra, Rebecca Vieyra, Candace Walkington, Christine Wilson-Mendenhall, Eiling Yee

An exploration of how heteronormative bias is deeply embedded in the internet, hidden in algorithms, keywords, content moderation, and more. In The Digital Closet , Alexander Monea argues provocatively that the internet became straight by suppressing everything that is not, forcing LGBTQIA+ content into increasingly narrow channels—rendering it invisible through opaque algorithms, automated and human content moderation, warped keywords, and other strategies of digital overreach. Monea explains how the United States' thirty-year “war on porn” has brought about the over-regulation of sexual content, which, in turn, has resulted in the censorship of much nonpornographic content—including material on sex education and LGBTQ+ activism. In this wide-ranging, enlightening account, Monea examines the cultural, technological, and political conditions that put LGBTQ+ content into the closet. Monea looks at the anti-porn activism of the alt-right, Christian conservatives, and anti-porn feminists, who became strange bedfellows in the politics of pornography; investigates the coders, code, and moderators whose work serves to reify heteronormativity; and explores the collateral damage in the ongoing war on porn—the censorship of LGBTQIA+ community resources, sex education materials, art, literature, and other content that engages with sexuality but would rarely be categorized as pornography by today's community standards. Finally, he examines the internet architectures responsible for the heteronormalization of porn: Google Safe Search and the data structures of tube sites and other porn platforms. Monea reveals the porn industry's deepest, darkest secret: porn is boring . Mainstream porn is stuck in a heteronormative filter bubble, limited to the same heteronormative tropes, tagged by the same heteronormative keywords. This heteronormativity is mirrored by the algorithms meant to filter pornographic content, increasingly filtering out all LGBTQIA+ content. Everyone suffers from this forced heteronormativity of the internet—suffering, Monea suggests, that could be alleviated by queering straightness and introducing feminism to dissipate the misogyny.

This first book-length analysis of Amazon's Kindle explores the platform's technological, bibliographical, and social impact on publishing. Four Shades of Gray offers the first book-length analysis of Amazon's Kindle and its impact on publishing. Simon Peter Rowberry recounts how Amazon built the infrastructure for a new generation of digital publications, then considers the consequences of having a single company control the direction of the publishing industry. Exploring the platform from the perspectives of technology, texts, and uses, he shows how the Kindle challenges traditional notions of platforms as discrete entities. He argues that Amazon's influence extends beyond “disruptive technology” to embed itself in all aspects of the publishing trade; yet despite industry pushback, he says, the Kindle has had a positive influence on publishing. Rowberry documents the first decade of the Kindle with case studies of Kindle Popular Highlights, an account of the digitization of books published after 1922, and a discussion of how Amazon's patent filings reflect a shift in priorities. Rowberry argues that while it was initially convenient for the book trade to outsource ebook development to Amazon, doing so has had adverse consequences for publishers in the mid- and long term, limiting opportunities for developing an inclusive and forward-thinking digital platform. While it has forced publishers to embrace digital forms, the Kindle has also empowered some previously marginalized readerships. Although it is still too early to judge the long-term impact of ebooks compared with that of the older technologies of clay tablets, the printing press, and offset printing, the shockwaves of the Kindle continue to shape publishing.

The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.

Rethinking design through the lens of embodied cognition provides a novel way of understanding human interaction with technology. In this book, Christopher Baber uses embodied cognition as a lens through which to view both how designers engage in creative practices and how people use designed artifacts. This view of cognition as enactive, embedded, situated, or distributed, without recourse to internal representations, provides a theoretical grounding that makes possible a richer account of human interaction with technology. This understanding of everyday interactions with things in the world reveals opportunities for design to intervene. Moreover, Baber argues, design is an embodied activity in which the continual engagement between designers and their materials is at the heart of design practice. Baber proposes that design and creativity should be considered in dynamic, rather than discrete, terms and explores “task ecologies”—the concept of environment as it relates to embodied cognition. He uses a theory of affordance as an essential premise for design practice, arguing that affordances are neither form nor function but arise from the dynamics within the human-artifact-environment system. Baber explores agency and intent of smart devices and implications of tangible user interfaces and activity recognition for human-computer interaction. He proposes a systems view of human-artifact-environment interactions—to focus on any one component or pairing misses the subtleties of these interactions. The boundaries between components remain, but the borders that allow exchange of information and action are permeable, which gives rise to synergies and interactions.

An innovative account that brings together cognitive science, ethnography, and literary history to examine patterns of “mindreading” in a wide range of literary works. For over four thousand years, writers have been experimenting with what cognitive scientists call “mindreading”: constantly devising new social contexts for making their audiences imagine complex mental states of characters and narrators. In The Secret Life of Literature , Lisa Zunshine uncovers these mindreading patterns, which have, until now, remained invisible to both readers and critics, in works ranging from The Epic of Gilgamesh to I nvisible Ma n. Bringing together cognitive science, ethnography, and literary studies, this engaging book transforms our understanding of literary history. Central to Zunshine's argument is the exploration of mental states “embedded” within each other, as, for instance, when Ellison's Invisible Man is aware of how his white Communist Party comrades pretend not to understand what he means , when they want to reassert their position of power. Paying special attention to how race, class, and gender inform literary embedments, Zunshine contrasts this dynamic with real-life patterns studied by cognitive and social psychologists. She also considers community-specific mindreading values and looks at the rise and migration of embedment patterns across genres and national literary traditions, noting particularly the use of deception, eavesdropping, and shame as plot devices. Finally, she investigates mindreading in children's literature. Stories for children geared toward different stages of development, she shows, provide cultural scaffolding for initiating young readers into a long-term engagement with the secret life of literature.

How the global financial services sector has been transformed by artificial intelligence, data science, and blockchain. Artificial intelligence, big data, blockchain, and other new technologies have upended the global financial services sector, creating opportunities for entrepreneurs and corporate innovators. Venture capitalists have helped to fund this disruption, pouring nearly $500 billion into fintech over the last five years. This book offers global perspectives on technology-fueled transformations in financial services, with contributions from a wide-ranging group of academics, industry professionals, former government officials, and current government advisors. They examine not only the struggles of rich countries to bring the old analog world into the new digital one but also the opportunities for developing countries to “leapfrog” directly into digital. The book offers accessible explanations of blockchain and distributed ledger technology and explores big data analytics. It considers, among other things, open banking, platform-based strategies for banks, and digital financial services. Case studies imagine possible future fintech-government interaction, emphasizing that legal and regulatory frameworks can help to create trust in financial processes. The contributors offer novel takes and unexpected insights that will be of interest to fintech experts and nonexperts alike. Contributors Ajay Bhalla, Michelle Chivunga, John D'Agostino, Mark Flood, Amias Moore Gerety, Oliver R. Goodenough, Thomas Hardjono, Sharmila Kassam, Boris Khentov, Alexander Lipton, Lev Menand, Pinar Ozcan, Alex Pentland, Matthew Reed, David L. Shrier, Markos Zachariadis

Manipulative communication—from early twentieth-century propaganda to today's online con artistry—examined through the lens of social engineering. The United States is awash in manipulated information about everything from election results to the effectiveness of medical treatments. Corporate social media is an especially good channel for manipulative communication, with Facebook a particularly willing vehicle for it. In Social Engineering , Robert Gehl and Sean Lawson show that online misinformation has its roots in earlier techniques: mass social engineering of the early twentieth century and interpersonal hacker social engineering of the 1970s, converging today into what they call “masspersonal social engineering.” As Gehl and Lawson trace contemporary manipulative communication back to earlier forms of social engineering, possibilities for amelioration become clearer. The authors show how specific manipulative communication practices are a mixture of information gathering, deception, and truth-indifferent statements, all with the instrumental goal of getting people to take actions the social engineer wants them to. Yet the term “fake news,” they claim, reduces everything to a true/false binary that fails to encompass the complexity of manipulative communication or to map onto many of its practices. They pay special attention to concepts and terms used by hacker social engineers, including the hacker concept of “bullshitting,” which the authors describe as a truth-indifferent mix of deception, accuracy, and sociability. They conclude with recommendations for how society can undermine masspersonal social engineering and move toward healthier democratic deliberation.