Data In Society

Data and Society: A Critical Introduction investigates the growing importance of data as a technological, social, economic and scientific resource. It explains how data practices have come to underpin all aspects of human life and explores what this means for those directly involved in handling data. The book fosters informed debate over the role of data in contemporary society explains the significance of data as evidence beyond the "Big Data" hype spans the technical, sociological, philosophical and ethical dimensions of data provides guidance on how to use data responsibly includes data stories that provide concrete cases and discussion questions. Grounded in examples spanning genetics, sport and digital innovation, this book fosters insight into the deep interrelations between technical, social and ethical aspects of data work.

Statistical data and evidence-based claims are increasingly central to our everyday lives. Critically examining ‘Big Data’, this book charts the recent explosion in sources of data, including those precipitated by global developments and technological change. It sets out changes and controversies related to data harvesting and construction, dissemination and data analytics by a range of private, governmental and social organisations in multiple settings. Analysing the power of data to shape political debate, the presentation of ideas to us by the media, and issues surrounding data ownership and access, the authors suggest how data can be used to uncover injustices and to advance social progress.

The ability to gather data that can be crunched by machines is valuable for studying society. The new methods needed to work it require new skills and new ways of thinking about best research practices. This book reflects on the role and usefulness of big data, challenging overly optimistic expectations about what it can reveal, introducing practices and methods for its analysis and visualization, and raising important political and ethical questions regarding its collection, handling, and presentation.

Today we are witnessing an increased use of data visualization in society. Across domains such as work, education and the news, various forms of graphs, charts and maps are used to explain, convince and tell stories. In an era in which more and more data are produced and circulated digitally, and digital tools make visualization production increasingly accessible, it is important to study the conditions under which such visual texts are generated, disseminated and thought to be of societal benefit. This book is a contribution to the multi-disciplined and multi-faceted conversation concerning the forms, uses and roles of data visualization in society. Do data visualizations do 'good' or 'bad'? Do they promote understanding and engagement, or do they do ideological work, privileging certain views of the world over others? The contributions in the book engage with these core questions from a range of disciplinary perspectives.

The idea of a knowledge society has been raised over the last two decades but the transition to such a society has not been realized up to the present time, and discussion about a knowledge society has largely focused on a knowledge economy and information society rather than a mobilization to a knowledge society. These debates have, however, taken place before the rise of open data and big data and the development of an open data movement. The book considers the role of the open data movement in fostering transformation to a knowledge society. The characteristics of the open data movement include the strong conviction of the value of open data for society, attention to the institutional aspects of making data open in an inclusive way, and a practical focus on the technological infrastructure that are key in mobilizing a knowledge society. At the heart of any mobilization is an emerging open data ecosystem and new ways of producing and using data - whether 'born digital' data, digitized data, or big data - and how that data, when made openly available, can be used in a knowledgeable way by societal actors.

How to analyze data settings rather than data sets, acknowledging the meaning-making power of the local. In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States—Harvard's Arnold Arboretum, the Digital Public Library of America, UCLA's Television News Archive, and the real estate marketplace Zillow—Loukissas shows us how to analyze data settings rather than data sets. Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the “myth of digital universalism,” Loukissas reminds us of the meaning-making power of the local.

"This book traces the long arc of Black women's relationship with technology from the antebellum south to the social media era demonstrating how digital culture transforms and is transformed by Black feminist thought"--

Psychotherapy across distance and time, from Freud’s treatments by mail to crisis hotlines, radio call-ins, chatbots, and Zoom sessions. Therapy has long understood itself as taking place in a room, with two (or more) people engaged in person-to-person conversation. And yet, starting with Freud’s treatments by mail, psychotherapy has operated through multiple communication technologies and media. These have included advice columns, radio broadcasts, crisis hotlines, video, personal computers, and mobile phones; the therapists (broadly defined) can be professional or untrained, strangers or chatbots. In The Distance Cure, Hannah Zeavin proposes a reconfiguration of the traditional therapeutic dyad of therapist and patient as a triad: therapist, patient, and communication technology. Zeavin tracks the history of teletherapy (understood as a therapeutic interaction over distance) and its metamorphosis from a model of cure to one of contingent help. She describes its initial use in ongoing care, its role in crisis intervention and symptom management, and our pandemic-mandated reliance on regular Zoom sessions. Her account of the “distanced intimacy” of the therapeutic relationship offers a powerful rejoinder to the notion that contact across distance (or screens) is always less useful, or useless, to the person seeking therapeutic treatment or connection. At the same time, these modes of care can quickly become a backdoor for surveillance and disrupt ethical standards important to the therapeutic relationship. The history of the conventional therapeutic scenario cannot be told in isolation from its shadow form, teletherapy. Therapy, Zeavin tells us, was never just a “talking cure”; it has always been a communication cure.