Fr. 150.00

Algorithmic Culture - How Big Data Artificial Intelligence Are Transforming Everyday Life

English · Hardback

Shipping usually within 3 to 5 weeks

Description

Read more










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.

List of contents










Introduction: In the Presence of Algorithms
Stefka Hristova, Soonkwan Hong, and Jennifer Daryl Slack
Chapter 1: Why Do We Need the Concept of Algorithmic Culture?
Jennifer Daryl Slack and Stefka Hristova
Chapter 2: Fetishizing Algorithms and Rearticulating Consumption
Soonkwan Hong
Chapter 3: Monoculturalism, Aculturalism, and Post-Culturalism: The Exclusionary Culture of
Algorithmic Development
Ushnish Sengupta
Chapter 4: "The Spectre of Self-Organization": Will Algorithms Guide Us towards Truth?
Ravi Sekhar Chakraborty
Chapter 5: Machines of Liberation, Machines of Control: The Ambiguous Roots of Data Capitalism
Reka Patricia Gal
Chapter 6: The Autoimmunitary Violence of the Algorithms of Mourning
Stefka Hristova
Chapter 7: Algorithms, Identity, and Cultural Consequences of Genetic Profiles
Amanda K. Girard
Chapter 8: Technologies of Convenience: An Examination of the Algorithmic Bias in the Input/Output System of Digital Cameras
Joel S. Beatty
Chapter 9: Generative Adversarial Ne


About the author

Stefka Hristova is associate professor of digital media at Michigan Technological University.Soonkwan Hong is associate professor of marketing at Michigan Technological University.Jennifer Daryl Slack is distinguished professor of communication and cultural studies and founding director of the Institute for Policy, Ethics, and Culture at Michigan Technological University.Soonkwan Hong is associate professor of marketing at Michigan Technological University.Stefka Hristova is associate professor of digital media at Michigan Technological University.Jennifer Daryl Slack is distinguished professor of communication and cultural studies and founding director of the Institute for Policy, Ethics, and Culture at Michigan Technological University.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.