The Burden of Choice
Recommendations, Subversion, and Algorithmic Culture
Bibliographic Data
| ID | 19944333 |
|---|---|
| Authors | Jonathan Cohn (0000-0001-8567-7034, corresponding author) |
| Year | 2019 |
| Publication date | 2019-12-31 |
| Open Access | No |
| Type | BOOK |
| Venue | Burden of Choice (SOURCE_BOOK) |
| Publisher | Rutgers University Press (PUBLISHER • US) |
| DOI | 10.36019/9780813597850 |
| OpenAlex | W3031000280 |
| Open Library | OL34921706M |
| ISBN | 9780813597850 |
| Language | EN |
| Citations received | 53 |
The Burden of Choice examines how recommendations for products, media, news, romantic partners, and even cosmetic surgery operations are produced and experienced online. Fundamentally concerned with how the recommendation has come to serve as a form of control that frames a contemporary American as heteronormative, white, and well off, this book asserts that the industries that use these automated recommendations tend to ignore and obscure all other identities in the service of making the type of affluence they are selling appear commonplace. Focusing on the period from the mid-1990s to approximately 2010 (while this technology was still novel), Jonathan Cohn argues that automated recommendations and algorithms are far from natural, neutral, or benevolent. Instead, they shape and are shaped by changing conceptions of gender, sexuality, race, and class. With its cultural studies and humanities-driven methodologies focused on close readings, historical research, and qualitative analysis, The Burden of Choice models a promising avenue for the study of algorithms and culture
Political science · Politics · Sociology · Subversion · Computer Science · Law · Political Economy and Marxism · Consumer behavior · Consumer profiling · Consumption (Economics)
The Anthology in Digital Culture
Algoritmos de recomendação
Mediating Market Moralities
Recommender Systems
Gender of the Interface
Rumo a uma teoria popular de algoritmos
Are you sure, you want a cookie? – The effects of choice architecture on users' decisions about sharing private online data
Data Practices and Privacy in Gaming
‘Unique joy’
Dialectics of training
Algorithms and taste-making
Platforms, alternative influence, and networked political brokerage on YouTube
An audience studies’ contribution to the discoverability and prominence debate
Algorithmic experiences of Netflix’s users in the Arab world
Fluid agency in relation to algorithms
Effects of Moral Violation on Algorithmic Transparency
Audiovisual streaming, networked memory & Netflix
Televisual epistemologies and beyond
Learning to like TikTok . . . and not
Digital Trace Data Collection for Social Media Effects Research
Integrating discoverability and prominence in video-on-demand consumption choices. A qualitative user study in Belgium
Experimentation will be at the forefront’
Toward a popular theory of algorithms
Stuck in a cul de sac of care
Field Mapping
Netflix & Big Data
Dating apps
The gamification of dating online
Making it Personal
Algorithms of Resistance
Digital Platforms and Algorithmic Subjectivities
Ce que le streaming fait aux métiers de l’audiovisuel
The Impact of Streaming on Occupations in Film and Television
The Field as a Black Box
The Post-Choice Society
Default viewing
Seeing like an infrastructure
Predicting Covid-19
Netflix streaming Video algorithms, taste and corporate responsibility
Platformed indie
We Pay to Buy Ourselves’
Algorithmic logics and the construction of cultural taste of the Netflix Recommender System
Die Ordnung der Empfehlung
Social media-fication in the apposphere
Subjectivity, culture and the datafication of music
Data orientalism
Folk theories of algorithmic recommendations on Spotify
Who Gets to Choose? On the Socio-algorithmic Construction of Choice
Algorithms as facts and fabrications
Spotify and the democratisation of music
Careful choice and choiceful care
Everything lies in a space
Self-Brand or Be Branded Out
| Unique citing works | 53 |
|---|---|
| Citations per year | 7,57 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 50 |