My publications in 2016

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Books

Lupton, D. (2016) The Quantified Self: A Sociology of Self-Tracking. Cambridge: Polity Press.

Edited special issues

Digitised health, medicine and risk’, Health, Risk & Society (volume 17, issue 7-8), 2016 (my editorial for this issue is available here).

Book chapters

Lupton, D. (2016) Digitized health promotion: risk and personal responsibility for health in the Web 2.0 era. In Davis, J. and Gonzalez, A. M. (eds), To Fix or To Heal: Patient Care, Public Health, and the Limits of Biomedicine. New York: New York University Press, pp. 152—76. (A preprint version is available here.)

Lupton, D. (2016) Digital risk society. In Zinn, J., Burgess, A. and Alemanno, A. (eds), The Routledge Handbook of Risk Studies. London: Routledge, pp. 301—9. (A preprint version is available here.)

Lupton, D. (2016) You are your data: self-tracking practices and concepts of data. In Selke, Stefan (ed.), Lifelogging: Digital Self-Tracking: Between Disruptive Technology and Cultural Change. Zurich: Springer, pp. 61—79. (A preprint version is available here.)

Lupton, D. (2016) Digital health technologies and digital data: new ways of monitoring, measuring and commodifying human bodies. In Olleros, F. X. and Zhegu, M. (eds), Research Handbook of Digital Transformations. New York: Edward Elgar, pp. 84—102. (A preprint version is available here.)

Lupton, D. (2016) Personal data practices in the age of lively data. In Daniels, J., Gregory, K. and McMillan Cottom, T. (eds), Digital Sociologies. London: Policy Press, 335—350. (A preprint version is available here.)

Lupton, D. (2016) ‘Mastering your fertility’: the digitised reproductive citizen. In McCosker, A., Vivienne, S. and Johns, A. (eds), Negotiating Digital Citizenship: Control, Contest and Culture. London: Rowman and Littlefield, pp. 81—93. (A preprint version is available here.)

Journal articles

Thomas, G.M. and Lupton, D. (2016) Threats and thrills: pregnancy apps, risk and consumption. Health, Risk & Society, 17(7-8), 495—509.

Lupton, D. (2016) Digital companion species and eating data: implications for theorising digital data-human assemblages. Big Data & Society, 3(1), online, available at http://bds.sagepub.com/content/3/1/2053951715619947

Lupton, D. (2016) Towards critical health studies: reflections on two decades of research in Health and the way forward. Health, 20(1), 49—61.

Michael, M. and Lupton, D. (2016) Toward a manifesto for ‘a public understanding of big data’. Public Understanding of Science, 25(1), 104—116.

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

Lupton, D. (2016) The use and value of digital media information for pregnancy and early motherhood: a focus group study. BMC Pregnancy and Childbirth, 16(171), online, available at http://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-016-0971-

Lupton, D., Pedersen, S. and Thomas, G.M. (2016) Parenting and digital media: from the early web to contemporary digital society. Sociology Compass, 10(8), 730—743.

Lupton, D. and Pedersen, S. (2016) An Australian survey of women’s use of pregnancy and parenting apps. Women and Birth, 29, 368—375.

Sumartojo, S., Pink, S., Lupton, D. and Heyes Labond, C. (2016) The affective intensities of datafied space. Emotion, Space and Society, 21, 33—40.

Pedersen, S. and Lupton, D. (2016) ‘What are you feeling right now?’ Communities of maternal feeling on Mumsnet. Emotion, Space & Society, online ahead of print: http://www.sciencedirect.com/science/article/pii/S175545861630010X

Lupton, D. (2016) Digital media and body weight, shape, and size: an introduction and review. Fat Studies, online ahead of print: http://www.tandfonline.com/doi/abs/10.1080/21604851.2017.1243392

Lupton, D. (2016) Lively devices, lively data and lively leisure studies. Leisure Studies, 35(6), 709—711.

 

 

Changing representations of self-tracking

I recently completed a chapter for a book on lifelogging that discussed the concepts and uses of data as they are expressed in representations of self-tracking (see here for the full paper, available open access). In part of the chapter I looked at the ways in which people writing about the quantified self and other interpretations of self-tracking represent data and data practices, including in articles published in Wired magazine and other media outlets and blogs.

From the beginning of discussions of the quantified self, the representation of data in quantified self-tracking discourses (as least as it was expressed by its progenitors) included several factors. These include the following: quantified data are powerful entities; it is important not only to collect quantified data on oneself, but to analyse these data for the patterns and insights they reveal; data (and particularly quantified or quantifiable data) are an avenue to self-knowledge; the emergence of new digital and mobile devices for gathering information about oneself have facilitated self-tracking and the generation of quantified personal data; quantifiable data are more neutral, reliable, intellectual and objective than qualitative data, which are intuitive, emotional and subjective; self-tracked data can provide greater insights than the information that a person receives from their senses, revealing previously hidden patterns or correlations; self-tracked data can be motivational phenomena, inspiring action, by entering into a feedback loop; everything can be rendered as data; and data about individuals are emblematic of their true selves.

In more recent times, however, it is evident that a further set of concepts about self-tracked data have emerged since the original euphoria of the early accounts of quantified self-tracking. They include: the meaning of self-tracked data can be difficult to interpret; personal data can be disempowering as well as empowering; the conditions in which data are gathered can influence their validity; the contexts in which data are generated are vital to understanding their meaning; individuals’ personal data are not necessarily secure or private; quantified personal data can be reductive; and personal data can be used to discriminate against individuals.

We as yet know very little about how people are conceptualising and engaging with digital data about themselves. Given the recent scandals about how people’s personal data may be hacked or used or manipulated without their knowledge (the Snowden revelations about security agencies’ use of metadata, the Facebook emotional manipulation experiment, the celebrity nude photo and Sony Pictures hackings, for example), as well as growing coverage of the potentially negative implications of self-tracking as described above, these are pressing issues.

Edit (12 December 2015): More on this topic can be found in my book The Quantified Self: A Sociology of Self-Tracking Cultures.