Academic Journal of Humanities & Social Sciences, 2021, 4(5); doi: 10.25236/AJHSS.2021.040519.
Fang Yang
Department of Sociology, the University of York, York, the United Kingdom
The consumptive digital labor of social media users is an important component of reproduction labor, which promotes a dichotomy between the new relations of production within capitalism and the commodification and sharing of digital goods. This data processing method dominated by commercial forces uses ecology to challenge the established social order and raise new social problems. On the one hand, the application of big data as a core resource for data companies directly affects the survival and development of the companies involved and creates huge economic value for stakeholders and a whole society. On the other hand, while users enjoy the convenience of data, this use of data is often blind and passive: they are drawn into a torrent of data, and their thoughts and behaviors are induced.
Data; Commercial use; Personal use; Worth and value; Consumerism
Fang Yang. The impact and shaping of the notions of value and worth by commercial and personal use of data. Academic Journal of Humanities & Social Sciences (2021) Vol. 4, Issue 5: 112-117. https://doi.org/10.25236/AJHSS.2021.040519.
[1] Aaker, D. A.& Day, G. S. (1982). Consumerism, 4th Ed. [Online]. Google. Available at: https://books.google.co.uk/books?hl=en&lr=&id=bmNEpSs3er4C&oi=fnd&pg=PR7&dq=Consumerism&ots=8ytQ8NbgEh&sig=6Dy0GLFuCVuRYhp7T9AIWI4S9eA&redir_esc=y#v=onepage&q=Consumerism&f=false. [Accessed 2 April 2021].
[2] Baudrillard, J. (1996). La societe de consommation: ses mythes, ses structures. Gallimard Education.
[3] Bauman, Z. (2007). Consuming Life. Cambridge: Polity Press.
[4] Beer, D. (2012). Using Social Media Data Aggregators to Do Social Research. Sociological Research Online, 17 (3) 10. [Online]. Available at: http://www.socresonline.org.uk/17/3/10.html [Accessed 25 March 2021].
[5] Beer, D. G. & Burrows, R. J. (2013). Popular culture, digital archives and the new social life of data, Theory, Culture and Society. vol. 30, no. 4, 47-71.
[6] Benjamin, R. & Wigand, R. (1995). Electronic markets and virtual value chains on the information superhigh-way. MIT Sloan Management Review, 36(2), pp 62-72.
[7] Buskirk, R. H., & Rothe, J. T. (1970). Consumerism—An Interpretation. Journal of Marketing, 34(4), 61–65. https://doi.org/10.1177/002224297003400410
[8] Chai, Y. (2017). The construction of media information system from the perspective of virtual value chain. News Front (24), 55-56. doi: CNKI: SUN: XWZX.0.2017-24-025.
[9] Chen, D. Q., Mocker, M., Preston, D. S. and Teubner, A. (2010). Information systems strategy: reconceptualization, measurement, and implications. MIS quarterly, 34(2): pp 233-259.
[10] Chen, H. C., Chiang, R. H. L. and Storey, V. C. (2012). Business intelligence and analytice: from big data to big impact. MIS quarterly, 36(4): pp 165-188.
[11] Cukier, K. (2010). Data, Data Everywhere: a Special Report on information. The Econo-mist, pp 3-5.
[12] Crawford, K. (2012) Critical Questions for Big Data. Information, Communication & Society, 15, 662-679. https://doi.org/10.1080/1369118X.2012.678878
[13] Kitchin, R. (2014). Conceptualising data. In The data revolution: Big data, open data, data infrastructures & their consequences (pp 1-26). SAGE Publications Ltd,
[14] Leszczynski, A., & Crampton, J. (2016). Introduction: Spatial Big Data and everyday life. Big Data & Society. https://doi.org/10.1177/2053951716661366
[15] Ma, Z. Z., Zhao, T., Liu, H. T. & Pu, X. S. (2020). Regional user value model research and LBS data application. Electronic Technology and Software Engineering (24), 203-204. doi: CNKI: SUN: DZRU.0.2020-24-101 .
[16] Miles, S. (1998). Consumerism: As a Way of Life. [Online]. Google. Available at:https://books.google.co.uk/books?hl=en&lr=&id=Fp8WVG1S_QAC&oi=fnd&pg=PP10&dq=Consumerism&ots=XY9av1dItw&sig=z_QAe_UIR4isf05TsZ2NsC3I3gg&redir_esc=y#v=onepage&q&f=false. [Accessed 2 April 2021].
[17] Rosenberg, D. (2013). ‘Data before the fact’, in Edited by: L.Gitelman (ed.), ‘Raw Data’ is an Oxymoron. MIT Press, Cambridge, MA, pp 15–40.
[18] Temin, P. (2017). The Roman Market Economy. New Jersey: Princeton University Press.
[19] Turow, J., McGuigan, L., & Maris, E. R. (2015). Making data mining a natural part of life: Physical retailing, customer surveillance and the 21st century social imaginary. European Journal of Cultural Studies, 18(4–5), 464–478.
[20] Verhoef, P. C., Stephen, A. T., Kannanm, P. K., Luo, X., Vibhanshu, A, …, Zhang, Y. (2017). Consumer connectivity in a complex, technology-enabled, and mobile-oriented world with smart products. Journal of Interactive Marketing, 40 (4), pp 1-8.
[21] Wu, C., Jia, J., Zhao, X., Sun, Q., Wu, S. and Wang, N. (2018) How Does Commercial and Personal Use of Metrics and Data Influence and Shape Notions of Worth and Value?. Open Journal of Social Sciences, 06(11), pp 121-132.
[22] Yu, Y.T., Wang, B. and Yu, X.D. (2017) Identifying Subscribers in Freemium E-Commerce Model Based on Support Vector Classification. Procedia Computer Science, 122, pp 1175-1181. https://doi.org/10.1016/j.procs.2017.11.489
[23] Zou, S. W. (2019). Research on the communication strategy and effects of the short video platform "Tik Tok" (Master's thesis, Hunan Normal University). [Online]. Available at: http://211.67.182.135:8000/rwt/CNKI/https/NNYHGLUDN3WXTLUPMW4A/ KCMS/detail/detail.aspx?dbname=CMFD202001&filename=1019672448.nh. [Accessed 5 April 2021].