Hi Alex, Personally, I think that the notion of algorithm is way to broad to talk about “neutrality” (again, super vague) in very interesting terms. But I would really recommend the volume by Custers et al. on Data Mining (http://link.springer.com/book/10.1007/978-3-642-30487-3). They get the technology right (half of the authors are from CS/IS), but also they put something of substance behind the notion of neutrality. Also, this paper by Barocas and Selbst on Big Data’s “disparate impact” (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899) is simply spectacular. best, Bernhard
On 30 May 2016, at 21:36 , Alex Gekker <gekker.alex@gmail.com> wrote:
Hi list,
I've been running into a lot of writing criticising the notion of "algorithms are neutral" recently, but yet to find a scholarly work that tackles the subject yet. Any recommendations?
Here are some examples for the types of arguments I'm interested in:
http://www.theatlantic.com/technology/archive/2016/04/go-tweak-yourself-face... https://socialmediacollective.org/2016/05/18/facebook-trends/
thanks, Alex.
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Alex Gekker, PhD Candidate (Promovendus), Media and Culture, Utrecht University. Charting the Digital http://www.digitalcartography.eu/ http://alexgekker.com a.gekker@uu.nl <//a.gekker@uu.nl> | _______________________________________________ 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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