Everyday Data Cultures

Everyday Data Cultures
Author: Jean Burgess
Publisher: John Wiley & Sons
Total Pages: 119
Release: 2022-06-08
Genre: Social Science
ISBN: 1509547576

The AI revolution can seem powerful and unstoppable, extracting data from every aspect of our lives and subjecting us to unprecedented surveillance and control. But at ground level, even the most advanced ‘smart’ technologies are not as all-powerful as either the tech companies or their critics would have us believe. From gig worker activism to wellness tracking with sex toys and TikTokers' manipulation of the algorithm, this book shows how ordinary people are negotiating the datafication of society. The book establishes a new theoretical framework for understanding everyday experiences of data and automation, and offers guidance on the ethical responsibilities we share as we learn to live together with data-driven machines. Everyday Data Cultures is essential reading for students and researchers in digital media and communication, as well as for anyone interested in the role of data and AI in society.

Winning with Data

Winning with Data
Author: Tomasz Tunguz
Publisher: John Wiley & Sons
Total Pages: 179
Release: 2016-06-20
Genre: Business & Economics
ISBN: 1119257239

Crest the data wave with a deep cultural shift Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture—this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a $13 billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business. Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve. Understand the changes a data culture brings to companies Instrument your company for maximum benefit Utilize data to optimize every aspect of your business Improve decision making and transform business strategy Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT—organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs.

Everyday Adventures with Unruly Data

Everyday Adventures with Unruly Data
Author: Melanie Feinberg
Publisher: MIT Press
Total Pages: 331
Release: 2022-10-11
Genre: Language Arts & Disciplines
ISBN: 0262544407

Paired informal and scholarly essays show how everyday events reveal fundamental concepts of data, including its creation, aggregation, management, and use. Whether questioning numbers on a scale, laughing at a misspelling of one’s name, or finding ourselves confused in a foreign supermarket, we are engaging with data. The only way to handle data responsibly, says Melanie Feinberg in this incisive work, is to take into account its human character. Though the data she discusses may seem familiar, close scrutiny shows it to be ambiguous, complicated, and uncertain: unruly. Drawing on the tools of information science, she uses everyday events such as deciding between Blender A and Blender B on Amazon to demonstrate a practical, critical, and generative mode of thinking about data: its creation, management, aggregation, and use. Each chapter pairs a self-contained main essay (an adventure) with a scholarly companion essay (the reflection). The adventure begins with an anecdote—visiting the library, running out of butter, cooking rice on a different stove. Feinberg argues that to understand the power and pitfalls of data science, we must attend to the data itself, not merely the algorithms that manipulate it. As she reflects on the implications of commonplace events, Feinberg explicates fundamental concepts of data that reveal the many tiny design decisions—which may not even seem like design at all—that shape how data comes to be. Through the themes of serendipity, objectivity, equivalence, interoperability, taxonomy, labels, and locality, she illuminates the surprisingly pervasive role of data in our daily thoughts and lives.

Algorithmic Culture

Algorithmic Culture
Author: Stefka Hristova
Publisher: Rowman & Littlefield
Total Pages: 219
Release: 2020-11-24
Genre: Social Science
ISBN: 1793635749

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.

Cultural Analytics

Cultural Analytics
Author: Lev Manovich
Publisher: MIT Press
Total Pages: 332
Release: 2020-10-20
Genre: Computers
ISBN: 0262360632

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

The Datafied Society

The Datafied Society
Author: Mirko Tobias Schäfer
Publisher:
Total Pages: 267
Release: 2017
Genre: Big data
ISBN: 9789462981362

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.

All Data Are Local

All Data Are Local
Author: Yanni Alexander Loukissas
Publisher: MIT Press
Total Pages: 267
Release: 2019-04-30
Genre: Computers
ISBN: 0262039664

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.

Everyday Racism

Everyday Racism
Author: Philomena Essed
Publisher: Hunter House Publishers
Total Pages: 310
Release: 1990
Genre: Social Science
ISBN:

"The first group of [U.S.] interviews presented here took place in the Bay Area in California, in 1981. The experiences of these women should not be considered fully representative of the broader American situation. This area is traditionally considered "tolerant" and "mild" in terms of racism. In the 1960s, it was one of the most important centers of black resistance"--Page 145.

Cooking Data

Cooking Data
Author: Cal (Crystal) Biruk
Publisher: Duke University Press
Total Pages: 302
Release: 2018-03-15
Genre: Social Science
ISBN: 0822371820

In Cooking Data Crystal Biruk offers an ethnographic account of research into the demographics of HIV and AIDS in Malawi to rethink the production of quantitative health data. While research practices are often understood within a clean/dirty binary, Biruk shows that data are never clean; rather, they are always “cooked” during their production and inevitably entangled with the lives of those who produce them. Examining how the relationships among fieldworkers, supervisors, respondents, and foreign demographers shape data, Biruk examines the ways in which units of information—such as survey questions and numbers written onto questionnaires by fieldworkers—acquire value as statistics that go on to shape national AIDS policy. Her approach illustrates how on-the-ground dynamics and research cultures mediate the production of global health statistics in ways that impact local economies and formulations of power and expertise.

The Culture of Efficiency

The Culture of Efficiency
Author: Sharon Kleinman
Publisher: Peter Lang
Total Pages: 418
Release: 2009
Genre: Art
ISBN: 9781433104206

The Culture of Efficiency: Technology in Everyday Life reveals how people are managing, exploiting, and resisting technological developments in the digital age. In this unique volume, distinguished experts from a broad range of fields candidly show how the latest technologies are being used to transform and control nitty-gritty aspects of life from conception onward and the surprising benefits and consequences. Bold and provocative, The Culture of Efficiency is for everyone concerned with efficiency and effectiveness. It offers fresh insights about social trends, practical suggestions for improving everyday life, and vital forecasts about the future of work and leisure. This is essential reading for researchers, professionals, and students in communication, sociology, education, anthropology, psychology, organizational science, operations management, marketing, gender studies, environmental studies, American studies, healthcare, and social policy. Overall, the volume offers a rich interpretation of the meaning of living in a culture of efficiency.