Trust, Disconnection, Minimizing risk and Apathy

A Compass of Coping Tactics in Datafied Everyday Lives

Authors

  • Jannie Møller Hartley The Department of Communication, Business and Information Technologies, Roskilde University
  • Sander Andreas Schwartz Roskilde University

DOI:

https://doi.org/10.7146/mediekultur.v36i69.121182

Keywords:

Datafication, Everyday life, coping, trust, data anxieties, focus groups

Abstract

This paper investigates how audiences are coping with digital platforms in their everyday lives. Empirically grounded in focus groups carried out in Denmark with a total of 34 participants of different ages and educational backgrounds, we present the results of an analysis of audiences’ coping tactics in relation to tracking data, collecting data and mining data.

Based on the analysis, we find four overall tactics: coping by absence, coping by trust, coping by minimizing risk and coping by apathy. We argue that these different coping tactics are employed differently depending on the context of the digital routines, the data collected (sensitive vs. non-sensitive data), and the dependence of the platform (private vs. public, national vs. international platforms and apps). These contextual factors are presented in an analytical model—a coping compass—for studying individual users’ coping tactics in their datafied everyday lives.

Author Biographies

Jannie Møller Hartley, The Department of Communication, Business and Information Technologies, Roskilde University

Jannie Møller Hartley

Associate professor, Department of Communication and Arts, Roskilde University

Sander Andreas Schwartz, Roskilde University

Associate professor,

Department of Communication and Arts,

Roskilde University 

References

Andrejevic, M. (2014). The big data divide. International Journal of Communication. 11, 1673-1689. https://doi.org/1932–8036/20140005

Barbour, R., & Kitzinger, J. (1999). Introduction: The challenge and promise of focus groups. In J. Kitzinger & R.S. Barbour (Eds.), Developing focus group research (pp. 1–20). London: SAGE. https://doi.org/10.4135/9781849208857.n1

Bloor, M., Frankland, J., Thomas, M., & Robson, K. (2012). Focus groups in social research. London: SAGE. https://doi.org/10.4135/9781849209175

Bolin, G., & Andersson Schwarz, J. (2015). Heuristics of the algorithm: Big data, user interpretation and institutional translation. Big Data & Society, December 2(2), 1–12. https://doi.org/10.1177/2053951715608406

Bottis, M., & Bouchagiar, G. (2018). Personal data v. big data in the EU: Control lost, discrimination found. Open Journal of Philosophy, 8, 192–205. https://doi.org/10.4236/ojpp.2018.83014

Cate, F.H., & Mayer-Schonberger, V. (2013). Notice and consent in a world of big data. International Data Privacy Law, 3(2), 67-73. International Data Privacy Law. https://doi.org/10.1093/idpl/ipt005

Couldry, N., & Mejias, U.A. (2018). Data Colonialism: Rethinking Big Data’s Relation to the Contemporary Subject. Television and New Media. 20(4), 336-349. https://doi.org/10.1177/1527476418796632

Crawford, K., & Schultz, J. (2014). Big data and due process: Toward a framework to redress predictive privacy harms. Boston College Law Review, 55(93), 93-128.

de Certeau, M. (1988). The practice of everyday life: ‘making do’: Uses and tactics. In G.M. Spiegel (Ed.), Practicing history: New directions in historical writing after the linguistic turn (pp. 217-227). New York: Routledge. https://doi.org/10.4324/9780203335697

Dencik, L., & Cable, J. (2017). The advent of surveillance realism: Public opinion and activist responses to the Snowden leaks. International Journal of Communication, 11, 763–781.

Dencik, L., Hintz, A., & Carey, Z. (2018). Prediction, pre-emption and limits to dissent: Social media and big data uses for policing protests in the United Kingdom. New Media and Society, 20(4), 1433 –1450. https://doi.org/10.1177/1461444817697722

Draper, N.A., & Turow, J. (2019). The corporate cultivation of digital resignation. New Media and Society, 21(8), 1824-1839. https://doi.org/10.1177/1461444819833331

Frederiksen, M. (2016). Divided uncertainty: A phenomenology of trust, risk and confidence. In S. Jagd & F.L (Eds.), Trust, Organizations and Social Interaction: Studying Trust as Process within and between Organizations (pp. 43-67). https://doi.org/10.4337/9781783476206.00011

Gerber, N., Gerber, P., & Volkamer, M. (2018). Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior. Computers and Security, 77, 226-261. https://doi.org/10.1016/j.cose.2018.04.002

Gray, J., Gerlitz, C., & Bounegru, L. (2018). Data infrastructure literacy. Big Data and Society 5 (2). https://doi.org/10.1177/2053951718786316

Hargittai, E., & Marwick, A. (2016). ‘What can I really do?’ Explaining the privacy paradox with online apathy. International Journal of Communication, 10(2016), 3737-3757. https://doi.org/10.5167/uzh-148157

Kennedy, H. (2018). Living with data: Aligning data studies and data activism through a focus on everyday experiences of datafication. Krisis: Journal for Contemporary Philosophy, 1.

Kennedy, H., Elgesem, D., & Miguel, C. (2017). On fairness: User perspectives on social media data mining. Convergence 23 (3). https://doi.org/10.1177/1354856515592507

Kitzinger, J. (1994). The methodology of focus groups: The importance of interaction between research participants. Sociology of Health & Illness 16(1). https://doi.org/10.1111/1467-9566.ep11347023

Latour, B., & Johnson, J. (1998). Mixing humans and nonhumans together: The sociology of a door-closer. Social Problems, 35(3), 298–310. https://doi.org/10.1525/sp.1988.35.3.03a00070

Mayer-Schönberger, V., & Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work and Think. New York: Houghton Miffl in Harcourt. https://doi.org/10.3359/oz1314047

Millington, B., & Millington, R. (2015). ‘The datafication of everything’: Toward a sociology of sport and big data. Sociology of Sport Journal 32(2). https://doi.org/10.1123/ssj.2014-0069

Newman, N., Levy, D.A.L., & Nielsen, R.K. (2018). Reuters Institute Digital News Report 2018. University of Oxford. https://doi.org/10.1017/CBO9781107415324.004

OECD. (2019). OECD Economic Surveys - Denmark.

Pangrazio, L., & Selwyn, N. (2018). ‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data. New Media & Society 21(2). https://doi.org/10.1177/1461444818799523

Picone, I., Kleut, J., Pavlíčková, T., Romic, B., Møller Hartley, J., & De Ridder, S. (2019). Small acts of engagement: Reconnecting productive audience practices with everyday agency. New Media and Society 21(9). https://doi.org/10.1177/1461444819837569

Pink, S., Lanzeni, D., & Horst, H. (2018). Data anxieties: Finding trust in everyday digital mess. Big Data & Society, January 5(1), 1–14. https://doi.org/10.1177/2053951718756685

Ruckenstein, M., & Schüll, N.D. (2017). The datafication of health. Annual Review of Anthropology, 46(1), 261-278. https://doi.org/10.1146/annurev-anthro-102116-041244

Smith, G.J.D., & O’Malley, P. (2017). Driving politics: Data-driven governance and resistance. British Journal of Criminology 57(2), 275–298. https://doi.org/10.1093/bjc/azw075

Sumartojo, S., Pink, S., Lupton, D., & LaBond, C.H. (2016). The affective intensities of datafied space. Emotion, Space and Society, 21, 33-40.. https://doi.org/10.1016/j.emospa.2016.10.004

van Dijck, J. (2014). Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance and Society, 12(2), 197–208. https://doi.org/10.24908/ss.v12i2.4776

Willson, M. (2017). Algorithms (and the) everyday. Information Communication and Society 20(1), 137-150. https://doi.org/10.1080/1369118X.2016.1200645

Young, A.L., & Quan-Haase, A. (2013). Privacy protection strategies on Facebook: The Internet privacy paradox revisited. Information Communication and Society. 16(4), 479-500. https://doi.org/10.1080/1369118X.2013.777757

Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: PublicAffairs. https://doi.org/10.4000/qds.3723

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Published

2020-12-11

How to Cite

Hartley, J. M., & Schwartz, S. A. (2020). Trust, Disconnection, Minimizing risk and Apathy: A Compass of Coping Tactics in Datafied Everyday Lives. MedieKultur: Journal of Media and Communication Research, 36(69), 011–028. https://doi.org/10.7146/mediekultur.v36i69.121182