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Computing the everyday: Social media as data platforms

Alaimo, Cristina and Kallinikos, Jannis (2017) Computing the everyday: Social media as data platforms Information Society, 33 (4). pp. 175-191.

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Abstract

We conceive social media platforms as sociotechnical entities that variously shape user platform involvement and participation. Such shaping develops along three fundamental data operations that we subsume under the terms of encoding, aggregation, and computation. Encoding entails the engineering of user platform participation along narrow and standardized activity types (e.g., tagging, liking, sharing, following). This heavily scripted platform participation serves as the basis for the procurement of discrete and calculable data tokens that are possible to aggregate and, subsequently, compute in a variety of ways. We expose these operations by investigating a social media platform for shopping. We contribute to the current debate on social media and digital platforms by describing social media as posttransactional spaces that are predominantly concerned with charting and profiling the online predispositions, habits, and opinions of their user base. Such an orientation sets social media platforms apart from other forms of mediating online interaction. In social media, we claim, platform participation is driven toward an endless online conversation that delivers the data footprint through which a computed sociality is made the source of value creation and monetization.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Surrey Business School
Authors :
NameEmailORCID
Alaimo, Cristinac.alaimo@surrey.ac.ukUNSPECIFIED
Kallinikos, JannisUNSPECIFIEDUNSPECIFIED
Date : 2 June 2017
Identification Number : 10.1080/01972243.2017.1318327
Copyright Disclaimer : Published with license by Taylor & Francis. © Cristina Alaimo and Jannis Kallinikos 2017.
Uncontrolled Keywords : Categories; Classification; Data infrastructures; Posttransactional spaces; Social data; Sociality; Social interaction; Social media platforms
Depositing User : Clive Harris
Date Deposited : 07 Jun 2017 14:11
Last Modified : 27 Jul 2017 13:47
URI: http://epubs.surrey.ac.uk/id/eprint/841331

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