1,557
Views
19
CrossRef citations to date
0
Altmetric
Articles

Conceptualising critical data literacies for civil society organisations: agency, care, and social responsibility

Pages 1640-1657 | Received 27 Oct 2018, Accepted 06 Jan 2020, Published online: 03 Mar 2020

References

  • Alvermann, D. E., Moon, J. S., Hagwood, M. C., & Hagood, M. C. (2018). Popular culture in the classroom: Teaching and researching critical media literacy. New York: Routledge.
  • Bassett, C. (2015). Plenty as a response to austerity? Big data expertise, cultures and communities. European Journal of Cultural Studies, 18(4–5), 548–563. doi: 10.1177/1367549415577394
  • Bassett, C., Fotopoulou, A., & Howland, K. (2015). Expertise: A report and a manifesto. Convergence, 21(3), 328–342. doi: 10.1177/1354856515579842
  • Bhargava, R., Deahl, E., Letouzé, E., Noonan, A., Sangokoya, D., & Shoup, N. (2015). Beyond data literacy: reinventing community engagement and empowerment in the age of data. Data-pop alliance white paper series. Data-pop alliance (Harvard humanitarian initiative, MIT Lad and Overseas Development Institute) and internews.
  • Bowker, G. C. (2013). Data flakes: An afterword to ‘raw data’ is an oxymoron. In L. Gitelman (Ed.), ‘Raw data’ is an oxymoron (pp. 167–171). Cambridge, MA: MIT Press.
  • Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662–679. doi: 10.1080/1369118X.2012.678878
  • Corple, D. J., & Linabary, J. R. (2019). From data points to people: Feminist situated ethics in online big data research. International Journal of Social Research Methodology, 1–14. doi: 10.1080/13645579.2019.1649832
  • Couldry, N., Fotopoulou, A., & Dickens, L. (2016). Real social analytics: A contribution towards a phenomenology of a digital world. The British Journal of Sociology, 67(1), 118–137. doi: 10.1111/1468-4446.12183
  • Crawford, K. (2013, April 1). The hidden biases in big data. HBR Blog Network. Retrieved from http://blogs.hbr.org/2013/04/the-hidden-biases-in-big-data/
  • Dalton, C. M., Taylor, L., & Thatcher, J. (2016). Critical data studies: A dialog on data and space. Big Data & Society, 3(1). doi: 10.1177/2053951716648346
  • Das, R. (2017). Audiences: A decade of transformations – Reflections from the CEDAR network on emerging directions in audience analysis. Media, Culture & Society, 39(8), 1257–1267. doi: 10.1177/0163443717717632
  • Dencik, L., Hintz, A., & Cable, J. (2016). Towards data justice? The ambiguity of anti-surveillance resistance in political activism. Big Data & Society, 3(2). doi: 10.1177/2053951716679678
  • D’Ignazio, C. (2017). Creative data literacy: Bridging the gap between the data-haves and data-have nots. Information Design Journal, 23(1), 6–18. doi: 10.1075/idj.23.1.03dig
  • D’Ignazio, C., & Bhargava, R. (2015, September). Approaches to building big data literacy. Proceedings of the Bloomberg data for good exchange conference.
  • Dourish, P. (2016). Algorithms and their others: Algorithmic culture in context. Big Data & Society. https://doi.org/10.1177/2053951716665128
  • Fenster, M. (2015). Transparency in search of a theory. European Journal of Social Theory, 18(2), 150–167. doi: 10.1177/1368431014555257
  • Fotopoulou, A. (2019). Understanding citizen data practices from a feminist perspective: Embodiment and the ethics of care. In H. Stephansen & E. Trere (Eds.), Citizen media and practice (pp. 227–242). Oxford: Taylor & Francis/Routledge.
  • Frank, M., Walker, J., Attard, J., & Tygel, A. (2016). Data literacy – What is it and how can we make it happen? The Journal of Community Informatics, 12, 3.
  • Gray, J., Gerlitz, C., & Bounegru, L. (2018). Data infrastructure literacy. Big Data & Society. doi: 10.1177/2053951718786316
  • Hammer, R. (2011). Critical media literacy as engaged pedagogy. E-Learning and Digital Media, 8(4), 357–363. doi: 10.2304/elea.2011.8.4.357
  • Hinrichsen, J., & Coombs, A. (2013). The five resources of critical digital literacy: A framework for curriculum integration. Research in Learning Technology, 21. Retrieved from https://journal.alt.ac.uk/index.php/rlt/article/view/1433
  • Iliadis, A., & Russo, F. (2016). Critical data studies: An introduction. Big Data & Society, 3(2). doi: 10.1177/2053951716674238
  • Jasanoff, S. (2017). Virtual, visible, and actionable: Data assemblages and the sightlines of justice. Big Data & Society, 4(2). doi: 10.1177/2053951717724477
  • Keen, R., & Audickas, L. (2017, August 16). Charities and the voluntary sector (Briefing Paper No SN05428). House of Commons Library.
  • Kellner, D., & Share, J. (2005). Toward critical media literacy: Core concepts, debates, organizations, and policy. Discourse: Studies in the Cultural Politics of Education, 26(3), 369–386.
  • Kitchin, R., & Lauriault, T. P. (2014). Towards Critical Data Studies: Charting and Unpacking Data Assemblages and Their Work. The Programmable City Working Paper 2; pre-print version of chapter to be published in Eckert, J., Shears, A. and Thatcher, J. (eds) Geoweb and Big Data. University of Nebraska Press.
  • Koltay, T. (2017). The bright side of information: Ways of mitigating information overload. Journal of Documentation, 73, 4. doi: 10.1108/JD-09-2016-0107
  • Livingstone, S. (2004). Media literacy and the challenge of new information and communication technologies. The communication review, 7(1), 3–14. doi: 10.1080/10714420490280152
  • Lnenicka, M. (2015). An in-depth analysis of open data portals as an emerging public e-service. International Journal of Social, Behavioral, Educational, Economic and Management Engineering, 9(2), 589–599.
  • Luke, A., & Freebody, P. (1997). Shaping the social practices of reading. Constructing Critical Literacies: Teaching and Learning Textual Practice, 6, 460–475.
  • Matthews, P. (2016). Data literacy conceptions, community capabilities. The Journal of Community Informatics, 12(3), 47–56. doi: 10.15353/joci.v12i3.3277
  • Mccosher, Anthony. (2017). Data literacies for the postdemographic social media self. First Monday. https://doi.org/10.5210/fm.v22i10.7307
  • Milan, S., & Gutiérrez, M. (2017). Citizens’ media meets big data: The emergence of data activism. MEDIACIONES, 11(14), 120–133.
  • Mollen, A., & Dhaenens, F. (2018). Audiences’ coping practices with intrusive interfaces: Researching audiences in algorithmic, datafied, platform societies. In B. Ytre-Arne & R. Das (Eds.), The future of audiences (pp. 43–60). Cham: Palgrave Macmillan.
  • Oram, S. (2017). What can we learn from lotto spending? MIT News. Retrieved from http://news.mit.edu/2017/what-can-we-learn-from-lottery-spending-0126
  • Pangrazio, L., & Selwyn, N. (2018). ‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data. New Media & Society. doi: 10.1177/1461444818799523
  • Papaloi, A., & Gouscos, D. (2013). Parliamentary information visualization as a means for legislative transparency and citizen empowerment? eJournal of eDemocracy and Open Government, 5(2), 174–186. doi: 10.29379/jedem.v5i2.222
  • Pickren, G. (2016). ‘The global assemblage of digital flow’ critical data studies and the infrastructures of computing. Progress in Human Geography. doi: 10.1177/0309132516673241
  • Pybus, J., Coté, M., & Blanke, T. (2015). Hacking the social life of big data. Big Data & Society, 2(2). doi: 10.1177/2053951715616649
  • Street, B. V. (2014). Social literacies: Critical approaches to literacy in development, ethnography and education. New York, NY, USA: Routledge.
  • Treré, E. (2018). From digital activism to algorithmic resistance. In G. Meikle (Ed.), The Routledge companion to media and activism (pp. 367–375). Oxford: Routledge.
  • Van Geel, M., Keuning, T., Visscher, A., & Fox, J. P. (2017). Changes in educators’ data literacy during a data-based decision-making intervention. Teaching and Teacher Education, 64, 187–198. doi: 10.1016/j.tate.2017.02.015
  • Ytre-Arne, B., & Das, R. (2019). An agenda in the interest of audiences: Facing the challenges of intrusive media technologies. Television & New Media, 20(2), 184–198. doi: 10.1177/1527476418759604
  • Zegura, E., DiSalvo, C., & Meng, A. (2018). Care and the practice of data science for social good (pp. 1–9). Association for Computing Machinery (ACM). doi:10.1145/3209811.3209877

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.