Encounters with Self-Monitoring Data on ICT Use

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This article elaborates on the prospects for research interventions that repurpose the means of datafication to create possibilities for people to reflect on what it means in their daily lives. The research data consist of qualitative research interviews (n=13) in which media diaries and tracking data from the participants’ smartphones and computers served as prompts for reflection. The experiences from the self-monitoring and the encounters with tracked data by self-identified avid ICT users are analysed to gain a better understanding of the kinds of possibilities for reflexivity that are enabled when people have access to data that are rarely available to them.

Andrejevic, M. (2014). The big data divide. International Journal of Communication, 8: 1673-1689.

Andrejevic, M. & Burdon, M. (2015). Defining the sensor society. Television & New Media, 16(1): 19-36.

Bechmann, A. (2015). Managing the interoperable self. In A. Bechmann & S. Lomborg (eds.), The ubiquitous internet. User and industry perspectives (pp. 54-73). New York & London: Routledge.

Beer, D. (2009). Power through the algorithm? Participatory web cultures and the technological unconscious. New Media & Society, 11(6): 985-1002.

Best, K. (2010). Living in the control society: Surveillance, users and digital screen technologies. International Journal of Cultural Studies, 13(1): 5-24.

Cadwalladr, C. & Graham-Harrison, E. (2018, March 17). Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. The Guardian [online]. Retrieved from https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election [accessed 2018, March 28].

Coté, M. (2014). Data motility. The materiality of big social data. Cultural Studies Review, 20(1): 121-149.

Couldry, N. & Mejias, U. A. (2018). Data colonialism: Rethinking big data’s relation to the contemporary subject. Television & New Media, 1-14. doi: http://doi.org/10.1177/1527476418796632

Couldry, N. & Powell, A. (2014). Big data from the bottom up. Big Data & Society, 1(2): 1-5.

Crawford, K., Lingel, J. & Karppi, T. (2015). Our metrics, ourselves: A hundred years of self-tracking from the weight scale to the wrist wearable device. European Journal of Cultural Studies, 18(4-5): 479-496.

Fiore-Gartland, B. & Neff, G. (2015). Communication, mediation, and the expectations of data: Data valences across health and wellness communities. International Journal of Communication, 9: 1466-1484.

Kennedy, H. & Hill, L. R. (2017). The feeling of numbers: Emotions in everyday engagements with data and their visualisation. Sociology, 1-19, pre-publication.

Kennedy, H., Hill, R. L., Allen, W. & Kirk, A. (2016). Engaging with (big) data visualizations: Factors that affect engagement and resulting new definitions of effectiveness. First Monday, 21(11).

Kitchin, R. & Laurialt, T. (2014). Towards critical data studies: Charting and unpacking data assemblages and their work. Pre-print version of chapter to be published in J. Thatcher, J. Eckert & A. Shears (eds.), Thinking big data in geography: New regimes, new research. University of Nebraska Press. Retrieved from https://www.researchgate.net/publication/267867447. [accessed 2018, March 27].

Kubitschko, S. & Kaun, A. (2016). An introduction to innovative methods in media and communication research. In S. Kubitschko & A. Kaun (eds.), Innovative methods in media and communication research (pp. 1-12). Cham: Palgrave Macmillan.

Lanier, J. (2018). Ten arguments for deleting your social media accounts right now. New York: Henry Holt and Company.

Lewis, P. (2017, October 6). “Our minds can be hijacked”: The tech insiders who fear a smartphone dystopia. The Guardian [online]. Retrieved from https://www.theguardian.com/technology/2017/oct/05/smart-phone-addiction-silicon-valley-dystopia?CMP=share_btn_fb [accessed 2017, November 4].

Lupton, D. (2016). The diverse domains of quantified selves: Self-tracking modes and dataveillance. Economy and Society, 45(1): 101-122.

Lynley, M. (2018, May 8). Google rolls out app time management controls. TechCrunch [online]. Retrieved from https://techcrunch.com/2018/05/08/android-rolls-out-a-suite-of-time-management-controls-to-promote-more-healthy-app-usage/ [accessed 2018, October 16].

Mayer-Schönberger, V. & Cukier, K. (2013). Big data: A revolution that will transform how we live, work and think. New York: Houghton Mifflin Harcourt.

Michael, M. & Lupton, D. (2016). Toward a manifesto for the “public understanding of big data”. Public Understanding of Science, 25(1): 104-116.

Nafus, D. & Sherman, J. (2014). This one does not go up to 11: The Quantified Self movement as an alternative big data practice. International Journal of Communication, 8: 1784-1794.

Nguyen, D. H. & Mynatt, E. D. (2002). Privacy mirrors: Understanding and shaping socio-technical ubiquitous computing systems. Everyday Computing Lab, College of Computing and GVU Center, Georgia Institute of Technology. Retrieved from [Accessed 2018, February 18].

Parviainen, J. (2016). Quantified bodies in the checking loop: Analysing the choreographies of biomonitoring and generating big data. Human Technology, 12(1): 56-73.

Perez, S. (2018, June 4). Apple unveils a new set of “digital wellness” features for better managing screen time. TechCrunch [online]. Retrieved from https://techcrunch.com/2018/06/04/apple-unveils-a-new-setof-digital-wellness-features-for-better-managing-screen-time/ [accessed 2018, October 16].

Pink, S. & Fors, V. (2017). Being in a mediated world: Self-tracking and the mind-body-environment. Cultural Geographies, 24(3): 375-388.

Pybus, J., Coté, M. & Blanke, T. (2015). Hacking the social life of big data. Big Data & Society, 2(2): 1-10.

Rooksby, J., Parvin, A., Rost, M., Morrison, A. & Chalmers, M. (2016). Personal tracking of screen time on digital devices. Paper presented at CHI’16, 2016, May 7-12, San Jose, USA.

Ruckenstein, M. (2014). Visualized and interacted life: Personal analytics and engagements with data doubles. Societies, 4, 68-84.

Saariketo, M. (2015). Neuvotteluja sosiaalisen median arkkitehtuurisesta vallasta. Käyttäjien ja ei-käyttäjien suhtautuminen Facebookiin teknologiavälitteisenä tilana [Negotiations on the architectural power of social media. How users and non-users view Facebook as a technologically mediated space]. Media & Viestintä, 38(3): 128-146.

Sharon, T. & Zandbergen, D. (2017). From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media & Society, 19(11): 1695-1709.

Smart, V. & Grundig, T. (2017, November 3). “We’re designing minds”: Industry insider reveals secrets of addictive app trade. CBC News [online]. Retrieved from http://www.cbc.ca/news/technology/marketplace-phones-1.4384876 [accessed 2017, November 4].

Smith, G. J. D. (2018). Data doxa: The affective consequences of data practices. Big Data & Society, 5(1): 1-15.

The Economist. (2017, May 6). The world’s most valuable resource is no longer oil, but data. [online]. Retrieved from https://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach-antitrust-rules-worlds-most-valuable-resource [accessed 2017, August 14].

Thompson, N. (2017, July 26). Our minds have been hijacked by our phones. Tristan Harris wants to rescue them. Wired [online]. Retrieved from https://www.wired.com/story/our-minds-have-been-hijacked-byour-phones-tristan-harris-wants-to-rescue-them/ [accessed 2017, November 4].

Thrift, N. (2004). Remembering the technological unconscious by foregrounding knowledges of position. Environment and Planning D: Society and Space, 22: 175-190.

Thrift, N. & French, S. (2002). The automatic production of space. Transactions of the Institute of British Geographers, 27(3): 309-335.

Van Dijck, J. (2014). Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance & Society, 12(2): 197-208.

Zuboff, S. (2015). Big other. Surveillance capitalism and the prospects of an information vivilization. Journal of Information Technology, 30: 75-89.

Nordicom Review

Journal from the Nordic Information Centre for Media and Communication Research (Nordicom)

Journal Information

CiteScore 2018: 0.54

SCImago Journal Rank (SJR) 2018: 0.223
Source Normalized Impact per Paper (SNIP) 2018: 0.270


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