Computing the everyday: Social media as data platforms
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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.
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Data doubles are the building blocks for new social objects: data-rich constructs arranged in complex categories which corporations can target and influence.
“Management theorists Alaimo and Kallinikos (2017) note, in an analysis of retail fashion platforms, that data doubles are the building blocks for new 'social objects': data-rich constructs arranged in complex categories which corporations can target and influence.”
From Data colonialism: rethinking big data’s relation to the contemporary subject (2019) · cites this paper as Alaimo and Kallinikos (2017)
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Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875 · cited 3× · see citing works
“…J. (2017), Computing the Everyday: Social Media as Data Platforms, The Information Society 33(4), pp. 175-191 2010; boyd and Ellison 2008; Baym; Kaplan and Haenlein 2010; Papacharissi 2010) 1 have gradually been complemented by several other approaches that have sought to document the…”
BackgroundResultSocial network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251 · see citing works
Representing and Intervening: Introductory Topics in the Philosophy of Natural Science
Hacking, I. (1983) · doi:10.1017/cbo9780511814563 · Cited by 4,814 · see citing works
Gillespie, T. (2010) · New Media & Society · doi:10.1177/1461444809342738 · Cited by 2,522 · cited 2× · see citing works
“An important implication of this growing and diversified research portfolio is the recent shift to understanding social media as platforms (Gillespie 2010; Helmond 2015; Van Dijck 2013).”
BackgroundThe like economy: Social buttons and the data-intensive web
Gerlitz, C., & Helmond, A. (2013) · New Media & Society · doi:10.1177/1461444812472322 · Cited by 871 · see citing works
A New Algorithmic Identity: Soft Biopolitics and the Modulation of Control
Cheney-Lippold, J. (2011) · Theory, Culture & Society · doi:10.1177/0263276411424420 · Cited by 684 · see citing works
d., B. (2010) · In Z. Papacharissi (Ed.), A Networked Self: Identity, Community, and Culture on Social Network Sites · doi:10.4324/9780203876527 · Cited by 673 · see citing works
Flagged first, then by citations
Research works printed but not linked: 68
- Aaltonen, A. and Tempini, N. 2014. Everything counts in large amounts: A critical realist case study on data-based production. Journal of Information Technology. 29 (1):97- 110.
- Abbott, A. 2001. Time matters: On theory and method. Chicago, IL: The University of Chicago Press.
- Alaimo, C. 2014. Computational consumption: Social media and the construction of digital consumers. Doctoral dissertation, London School of Economics, London, UK. http://etheses.lse.ac.uk/975/
- Sugimoto, C., Ekbia, H. and Mattioli M. 77-90. Cambridge MA: MIT Press.
- Baldwin, C.Y. and Clark, K.B., 2000. Design rules: The power of modularity (Vol. 1). Cam- bridge MA: MIT Press.
- Baldwin C. and Woodward C. J. 2009. The architecture of platforms: a unified view, in Gawer, A. (ed.) Platforms, Markets and Innovation, 19-44. London, UK: Edward Elgar.
- Barthes, R. 1983. The fashion system. Berkeley, CA: University of California Press.
- Baym, N. K. 2010. Personal connections in the digital age: London, UK: Wiley.
- Beer, D. 2009. Power through the algorithm? Participatory web cultures and the technological unconscious. New Media & Society, 11(6), 985-1002.
- Beniger, J. R. 1987. Personalization of mass media and the growth of pseudo-community. Communication research, 14(3): 352-371.
- Berger, K., Klier, J., Klier, M., and Probst, F. 2014. A review of information systems re- search on online social networks. Communications of the Association for Infor- mation Systems, 35(1):145-172
- Borgmann, A., 1999. Holding on to reality: The nature of information at the turn of the mil- lennium. Chicago, IL: University of Chicago Press.
- Bourdieu, P. 1984. Distinction: A social critique of the judgement of taste: Cambridge, MA: Harvard University Press.
- Bowker, H. C. 2005. Memory practices in the sciences. Cambridge, MA: MIT Press.
- Bowker, G. C. and Star, S. L. 1999. Sorting things out: classification and its consequences: Cambridge, MA: MIT Press.
- boyd, d. and Crawford, K., 2012. Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 15(5):662-679.
- Bucher, T. 2012. Want to be on the top? Algorithmic power and the threat of invisibility on Facebook. New Media & Society, 14(7):1164-1180.
- Bucher, T. 2015. Networking, or what the social means in social media. Social Media+ Society, 1(1):1-2.
- Couldry, N., Fotopoulou, A., and Dickens, L. 2016. Real social analytics: a contribution towards a phenomenology of a digital world. The British Journal of Sociology. 67(1):118-137
- Couldry, N., and Turow, J. 2014. Advertising, big data and the clearance of the public realm: marketers' new approaches to the content subsidy. International Journal of Communication, 8:1710-1726.
- Desrosières, A. 1998. The politics of large numbers: A history of statistical reasoning: Cambridge, MA: Harvard University Press.
- Douglas, M. 1986. How institutions think. Syracuse, NY: Syracuse University Press.
- Durkheim, E. 2013. The division of labour in society. Ed. S. Lukes, 2 nd ed. Houndmills, UK: Palgrave.
- Ekbia, H. R. 2009. Digital artifacts as quasi-objects: Qualification, mediation, and materiali- ty. Journal of the American Society for Information Science and Technology, 60(12):2554-2566.
- Elmer, G. 2004. Profiling machines: Mapping the personal information economy. Cambridge, MA: MIT Press.
- Elmer, G., Langlois, G. and Redden, J. 2015. Compromised data: From social media to big data. London, UK: Bloomsbury Academic.
- Emirbayer, M. and Goodwin, J. 1994. Network analysis, culture, and the problem of agency. American Journal of Sociology 99 (6):1411-1454.
- Espeland, W. N. and Stevens, M. L. 1998. Commensuration as a social process. Annual review of sociology 24 (1):313-343.
- Ettema, J. S. and Whitney, D. C. 1994. Audiencemaking: how the media create the audience. London, UK: Sage Publications.
- Faulkner, P. and Runde, J. 2012. On sociomateriality. In Materiality and Organizing: Social Interaction in a Technological World, ed. P.M. Leonardi, B.A. Nardi and J. Kallinikos, 49-66.Oxford, UK: Oxford University Press.
- Faulkner, P. and Runde, J. 2013. Technological objects, social positions, and the transformational model of social activity, MIS Quarterly 37 (3):803-818.
- Flyvbjerg, B. 2006. Five misunderstandings about case-study research. Qualitative Inquiry, 12(2): 219-245.
- T. Gillespie, P. J. Boczkowski and K. A. Foot. 167-194. Cambridge, MA: MIT Press.
- Hacking, I. 1986. Macking up people, , Reconstructing Individualism: Autonomy, Individuality, and the Self in Western Thought, ed. T. C. Heller and C. Brooke-Rose, 161-171. Stanford, CA: Stanford University Press.
- Hanseth, O. 2000. The economics of standards. In From control to drift: The dynamics of corporate information infrastructures, ed. C. Ciborra, 56-70. Oxford, UK: Oxford University Press.
- Helmond, A. 2015. The platformization of the Web: Making Web data platform ready. So- cial Media+ Society, 1(2):1-11.
- Introna, L.D. and Nissenbaum, H., 2000. Shaping the web: Why the politics of search en- gines matters. The information society, 16(3):169-185.
- Jannach, D., Zanker, M., Felfernig, A. and Friedrich, G. 2010. Recommender systems: An introduction. Cambridge, UK: Cambridge University Press.
- Kallinikos, J., 2011. Governing through technology: Information artefacts and social prac- tice. New York: Palgrave Macmillan.
- Kallinikos, J., Hasselbladh, H., and Marton, A. 2013. Governing social practice. Theory and society, 42(4):395-421.
- Kallinikos, J., Aaltonen, A., and Marton, A. 2013. The Ambivalent Ontology of Digital Artifacts, MIS Quarterly, 37 (2): 357-370.
- Kallinikos, J. and Constantiou, I. D. 2015. Big data revisited: a rejoinder. Journal of Infor- mation Technology, 30(1): 70-74.
- Kallinikos, J., and Mariátegui, J. C. 2011. Video as digital object: Production and distribu- tion of video content in the internet media ecosystem. The Information Society, 27(5): 281-294.
- Kane, G. C., Alavi, M., Labianca, G., and Borgatti, S. P. 2014. What's different about social media networks? A framework and research agenda, MIS Quarterly 38 (1): 275-304.
- Knox, H., Savage, M., and Harvey, P. 2006. Social networks and the study of relations: Networks as method, metaphor and form. Economy and Society 35 (1): 113-140.
- Konstan, J. A., and Riedl, J. 2012. Recommender systems: From algorithms to user experience. User Modeling and User-Adapted Interaction 22 (1-2): 101-123.
- Lakoff, G. 1987. Women, fire and other dangerous things. Chicago, IL: Universtity of Chicago Press.
- Levy, K. E. 2015. The Contexts of control: Information, power, and truck-driving work. The Information Society, 31(2): 160-174.
- Lipovetsky, G., Porter, C. and Sennett, R. 2002. The empire of fashion: dressing modern democracy. Princeton, NJ: Princeton University Press.
- Marton, A. and Mariátegui, J. C. 2015. De/contextualizing information: The digitization of video editing practices at the BBC. The Information Society, 31(2): 106-120.
- Napoli, P. M. 2011. Audience evolution: New technologies and the transformation of media audiences. New York, NY: Columbia University Press.
- Oestreicher-Singer, G., and Zalmanson, L. 2013. Content or community? A digital business strategy for content providers in the social age, MIS Quarterly 37 (2):591-616.
- Orlikowski, W. J. and Scott, S. V. 2014. The algorithm and the crowd: Considering the ma- teriality of service innovation. MIS Quarterly, 39(1):201-216
- Papacharissi, Z. 2010. A Networked self: identity, community, and culture on social network sites. London, UK: Routledge.
- Pasquale, F. 2015. The black box society. The Secret Algorithms That Control Money and Information, Cambridge, MA: Harvard University Press
- Porter, T. M. 1995. Trust in numbers: The pursuit of objectivity in science and public life: Princeton, NJ: Princeton University Press.
- Proffitt, J. M., Ekbia, H. R. and McDowell, S. D. 2015. Introduction to the special forum on monetization of user-generated content-Marx revisited. The Information Society, 31(1): 1-4.
- Shirky, C. 2009. Here comes everybody : how change happens when people come together. London, UK: Penguin.
- Simmel, G. and Frisby, D. 2011. Philosophy of money: London, UK: Taylor & Francis.
- Sismondo, S. 1993. Some social constructions. Social Studies of Science, 23(3): 515-553.
- Sørensen, C., M. De Reuver, & R. Basole. 2015. Mobile Platforms and Ecosystems. Special issue editorial. Journal of Information Technology. 30 (5):195-197.
- Sundararajan, A. 2016. The sharing economy. The end of employment and the rise of crowd- based capitalism. Cambridge MA: MIT Press.
- Sundararajan, A., Provost, F., Oestreicher-Singer, G., and Aral, S. 2013. Research commentary-Information in digital, economic, and social networks, Information Systems Research 24 (4): 883-905.
- Svenonius, E. 2000. The intellectual foundation of information organization. Cambridge, MA: MIT Press.
- Turow, J. 2012. The daily you: How the new advertising industry is defining your identity and your worth. New Haven, CT: Yale University Press.
- van Dijck, J. 2013. The culture of connectivity: A critical history of social media. New York, NY: Oxford Universtity Press.
- Whelan, E., Teigland, R., Vaast, E., and Butler, B. 2016. Expanding the horizons of digital social networks: Mixing big trace datasets with qualitative approaches. Information and Organization 26 (1): 1-12.
- Yoo, Y. 2010. Computing in everyday life: A call for research on experiential computing, MIS Quarterly, 34 (2): 213-231.
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- Authors
- Alaimo, C., & Kallinikos, J.
- Affiliations
- University of Surrey (GB)
- London School of Economics and Political Science (GB)
- Corresponding author
- Kallinikos, Jannis
- Venue
- The Information Society
- Publisher
- Informa UK Limited
- Published
- 2017-06-02
- Volume
- 33
- Issue
- 4
- Pages
- 175-191
- ISSN
- 0197-2243 (ISSN-L)
- 1087-6537
- OpenAlex
- W2621140031
- Cited by
- 205
- References
- 7
- Citations by year
- 2026: 27 · 2025: 24 · 2024: 20 · 2023: 24 · 2022: 26 · 2021: 25 · 2020: 22 · 2019: 23 · 2018: 11 · 2017: 2 · 2016: 1
- FWCI
- 31.54
- Type
- journal article
- Language
- en
- Open access
- green
- orcid.org
- Locations
- The Information Society (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- IRIS - Institutional Research Information System (Libera Università Internazionale degli Studi Sociali Guido Carli) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Social Sciences › Decision Sciences › Information Systems and Management › Technology's Impact on Media
- Keywords
- social networking sites, data platform, socio-technical systems, data aggregation, social commerce, user profiling, monetization, value creation
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