Re: [Air-L] Any sociological or STS research on machine learning?
I also agree with this! This has been shared before, but it may be worth reposting: The SMC's breakdown of critical algorithm studies reading is totally clutch https://socialmediacollective.org/reading-lists/critical-algorithm-studies/ On Sat, Jan 13, 2018 at 4:32 PM, Stephen Paff <stephen.paff@gmail.com> wrote:
Thank you, Dan and Josh, and thank you Dr. Burrell for sharing your work and other work. As I have been looking through it, I am starting to see what you two are saying: it is phenomenal.
Thank you everyone else who responded with sources and scholars. These have been really thought provoking and beneficial for my research. If anyone comes across anything else in the anthropology of machine learning or related broader topic areas like the anthropology of algorithms, data science, data analysis, big data, statistics, etc., please send them my way. Any related topics from other disciplines like sociology, STS, media studies, computer science, math, etc. would be helpful as well.
Sincerely, Stephen
On Sat, Jan 13, 2018 at 2:01 PM, Josh Scannell <joshua.scannell@gmail.com> wrote:
I agree with this ^
On Sat, Jan 13, 2018 at 2:52 PM Dan L. Burk <dburk@uci.edu> wrote:
Dr. Burrell is being very modest here -- her recommendations are all great stuff of course, but her piece is really required reading -- extraordinarily thoughtful and useful.
Cheers, DLB
--
Dan L. Burk Chancellor's Professor of Law University of California, Irvine ++++++++++++++++++++++++++++++++ 2017-18 Fulbright Cybersecurity Scholar
On 2018-01-12 09:25, Jenna Burrell wrote:
Hi Stephen and AIR-L,
Yes, there's a lot of work by sociologists and STS researchers on machine learning, including books published in the last year or about to come out...
Virginia Eubanks book *Automating Inequality: How High-Tech Tools Profile, Punish and Police the Poor* is about to come out. I believe it's an ethnography and that it deals, at least in part, with applications of machine learning (in areas like predictive policing).
There's a new book out by STS scholar Adrien Mackenzie *Machine Learners* - https://mitpress.mit.edu/books/machine-learners
Also look at what Nick Seaver has written. He has an ethnography coming out on music recommendation systems/algorithms (http://nickseaver.net/)
Malte Ziewitz did an ethnography of the search engine optimization industry and has done lots of work in this space - http://zwtz.org/
Marion Foucade has a deeply sociological read on this topic and has written a great piece about the "mechanisms" that produce "classification situations" which are consequential to life circumstances (she doesn't use the phrase machine learning, but certainly ML compose some of the underlying 'mechanisms' she is concerned with) - http://www. sciencedirect.com/science/article/pii/S0361368213000743
I've also written something in this space: "How the machine 'thinks': Understanding opacity in machine learning algorithms" http://journals.sagepub.com/doi/abs/10.1177/2053951715622512 - I'm a sociologist and an ethnographer, though this particular piece isn't ethnographic.
This list just scratches the surface ... there's just so much work coming out in this space so I'll just offer some names of other people to look into: Solon Barocas, Karen Levy, Kate Crawford, Christian Sandvig, Tarleton Gillespie, Angele Christen, Mike Ananny, Nick Diakopolous, Luke Stark. Plus lots of people doing work in this space at Data & Society ( https://datasociety.net/).
Jenna Burrell Associate Professor School of Information UC-Berkeley
On Fri, Jan 12, 2018 at 8:29 AM, Yosem Companys <ycompanys@gmail.com> wrote:
From: Stephen Paff <stephen.paff@gmail.com>
Hello everyone,
I am conducting research into the anthropology of machine learning. Does anyone know of ethnographies of the development, implementation, and/or use of machine learning algorithms? Are there any sociologists, STS researchers, or scholars from other related fields studying machine learning whose work I should look into as well?
Sincerely, Stephen Paff _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/ listinfo.cgi/air-l-aoir.org
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-- Sent from my transhuman digital interface
-- R. Joshua Scannell / Sociology Ph.D. CUNY Graduate Center / Adjunct Lecturer, Sociology and Women, Gender, and Sexuality Studies, Hunter College / Email: Joshua.Scannell@gmail.com / Cell: (860) 759-2304
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