Nick Seaver

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Rachel Douglas-JonesIT University of CopenhagenVerificeret mail på itu.dk
Tarleton GillespieMicrosoft Research; Cornell UniversityVerificeret mail på cornell.edu
David MoatsUniversity of HelsinkiVerificeret mail på helsinki.fi
Kristoffer AlbrisAssociate Professor, University of CopenhagenVerificeret mail på anthro.ku.dk
Morten Axel PedersenDirector of SODAS & Professor of Anthropology, University of CopenhagenVerificeret mail på sodas.ku.dk
K. E. GoldschmittWellesley CollegeVerificeret mail på wellesley.edu
Tero KarppiAssociate Professor, University of Toronto (UTM)Verificeret mail på utoronto.ca
Rebecca JablonskyScience and Technology Studies, Rensselaer Polytechnic InstituteVerificeret mail på rpi.edu
Tom BoellstorffProfessor of Anthropology, University of California, IrvineVerificeret mail på uci.edu

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Nick Seaver

Assistant Professor of Anthropology, Tufts University

Verificeret mail på tufts.edu - Startside

science and technology studies classification taste sound attention


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Algorithms as culture: Some tactics for the ethnography of algorithmic systems N Seaver Big data & society 4 (2), 2053951717738104, 2017	1185	2017
Captivating algorithms: Recommender systems as traps N Seaver Journal of material culture 24 (4), 421-436, 2019	340	2019
What should an anthropology of algorithms do? N Seaver Cultural anthropology 33 (3), 375-385, 2018	182	2018
The nice thing about context is that everyone has it N Seaver Media, Culture & Society 37 (7), 1101-1109, 2015	113	2015
Critical algorithm studies: A reading list T Gillespie, N Seaver Social Media Collective 15, 2016	96	2016
Algorithmic recommendations and synaptic functions N Seaver Limn 1 (2), 2012	66	2012
Introduction: Towards an anthropology of data R Douglas‐Jones, A Walford, N Seaver Journal of the Royal Anthropological Institute 27 (S1), 9-25, 2021	64	2021
“You social scientists love mind games”: Experimenting in the “divide” between data science and critical algorithm studies D Moats, N Seaver Big Data & Society 6 (1), 2053951719833404, 2019	62	2019
Computing taste: Algorithms and the makers of music recommendation N Seaver University of Chicago Press, 2022	54	2022
The political economy of attention MA Pedersen, K Albris, N Seaver Annual Review of Anthropology 50, 309-325, 2021	46	2021
Bastard algebra N Seaver Data, now bigger and better, 27-46, 2015	40	2015
Shaping the stream: Techniques and troubles of algorithmic recommendation KE Goldschmitt, N Seaver The Cambridge companion to music in digital culture, 63-81, 2019	36	2019
The secret life of big data G Bell, M Gregg, N Seaver Data, now bigger and better, 7-26, 2015	36	2015
Care and scale: decorrelative ethics in algorithmic recommendation N Seaver Cultural Anthropology 36 (3), 509–537-509–537, 2021	35	2021
Knowing algorithms N Seaver digitalSTS, 412-422, 2019	31*	2019
Seeing like an infrastructure: avidity and difference in algorithmic recommendation N Seaver Cultural Studies 35 (4-5), 771-791, 2021	26	2021
Studying up: The ethnography of technologists N Seaver Ethnography Matters 10, 2014	14	2014
“This Is Not a Copy”: Mechanical Fidelity and the Re-Enacting Piano N Seaver differences 22 (2-3), 54-73, 2011	13	2011
Everything lies in a space: cultural data and spatial reality N Seaver Journal of the Royal Anthropological Institute 27 (S1), 43-61, 2021	11	2021
Every Sensation Is Only a Number: Tardean Statistics, Computer Audition, and Big Data N Seaver	5	2018

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