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Heuristics of the Algorithm: Big Data, User Interpretation and Institutional Translation

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Abstract:

This paper argues that although algorithmically generated data seemingly results in an automated system where human agency gets increasingly distanced from the data collected (technological gadgets are being surveyed, rather than social beings), one can also observe a felt need among media users and among actors within the media industries to ‘translate back’ the algorithmically produced relational statistics into ‘traditional’, often intuitive social parameters, with a tenor of heuristic or pragmatic judgment and problem solving. There seem to be tenacious social structures within the advertising industries (and their customers among producers of consumer goods and services) that work against the technologically and economically driven tendencies within the Big Data economy.
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Association:
Name: International Communication Association 65th Annual Conference
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http://www.icahdq.org


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MLA Citation:

Bolin, Goran. and Andersson Schwarz, Jonas. "Heuristics of the Algorithm: Big Data, User Interpretation and Institutional Translation" Paper presented at the annual meeting of the International Communication Association 65th Annual Conference, Caribe Hilton, San Juan, Puerto Rico, May 21, 2015 <Not Available>. 2015-12-02 <http://citation.allacademic.com/meta/p985913_index.html>

APA Citation:

Bolin, G. and Andersson Schwarz, J. , 2015-05-21 "Heuristics of the Algorithm: Big Data, User Interpretation and Institutional Translation" Paper presented at the annual meeting of the International Communication Association 65th Annual Conference, Caribe Hilton, San Juan, Puerto Rico Online <APPLICATION/PDF>. 2015-12-02 from http://citation.allacademic.com/meta/p985913_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This paper argues that although algorithmically generated data seemingly results in an automated system where human agency gets increasingly distanced from the data collected (technological gadgets are being surveyed, rather than social beings), one can also observe a felt need among media users and among actors within the media industries to ‘translate back’ the algorithmically produced relational statistics into ‘traditional’, often intuitive social parameters, with a tenor of heuristic or pragmatic judgment and problem solving. There seem to be tenacious social structures within the advertising industries (and their customers among producers of consumer goods and services) that work against the technologically and economically driven tendencies within the Big Data economy.


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Patient oriented translational research: Translating “experience” to produce clinical data

Generating Friendship Networks of Marijuana Users and Non-users Using Large Samples of Partial Ego-network Data

Prototyping Big Data: Designer Algorithms and Data Rituals


 
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