Precarious Data: Affect, Infrastructure, and Public Education

Nathan R. Johnson Schlumberger (Ireland) ; Meredith A. Johnson

Abstract

This essay contributes to scholarship on precarity and rhetoric by exploring how participatory epideictic rhetorics, data, and infrastructure contribute to precarity. We concentrate on how shared data practices (i.e., systems for archiving, storing, distributing, and communicating information) produce and sustain human/material vulnerabilities for users, developers, and systems with observational research of VirtualLearners, a business that created, aggregated, and sold data (i.e., videos, texts, and games) to educators. We argue that VirtualLearners’s glitching online ratings system and its associated data nurtured user precarity by encouraging barriers to education, the basis of economic and social mobility. In this essay, we expose VirtualLearners’s backstage computational techniques and tactics that transformed the rhetorical capacities made available to students and teachers. As part of this study, we introduce the concept of affective data technologies to explain how publics are encouraged to become invested in data practices that can make them complicit in their own precarity.

Journal
Rhetoric Society Quarterly
Published
2020-10-19
DOI
10.1080/02773945.2020.1814397
Open Access
Closed
Topics

Citation Context

Cited by in this index (2)

  1. College English
  2. Rhetoric Society Quarterly

Cites in this index (4)

  1. Rhetoric Society Quarterly
  2. Rhetoric Society Quarterly
  3. Poroi
  4. Rhetoric Society Quarterly
Also cites 39 works outside this index ↓
  1. 10.1007/978-3-319-66038-7_12
  2. 10.1353/par.2003.0006
  3. 10.1177/0117196818780087
  4. 10.1086/521568
  5. 10.1177/1744987107081254
  6. Sorting Things Out: Classification and Its Consequences
  7. 10.1080/15295036.2015.1047880
  8. 10.11156/aibr.040303e
  9. 10.1215/00382876-3130723
  10. 10.1111/1467-954X.12237
  11. 10.1119/1.3562193
  12. 10.1080/10570314.2016.1162323
  13. 10.7551/mitpress/9780262015554.001.0001
  14. 10.1177/1532708616655820
  15. 10.4324/9781315129457-6
  16. 10.1016/j.jvb.2003.10.005
  17. 10.7551/mitpress/5658.001.0001
  18. 10.1177/1470593115607942
  19. 10.1016/j.jaging.2017.08.002
  20. 10.2307/j.ctt21668mb
  21. 10.1525/gfc.2017.17.1.15
  22. 10.1017/CBO9780511819766
  23. 10.1080/03637759809376439
  24. 10.1353/foc.2006.0015
  25. 10.2753/IJS0020-7659440303
  26. 10.26818/9780814213766
  27. 10.1080/10510974.2011.529750
  28. 10.1080/1369183X.2016.1202752
  29. 10.1145/1562764.1562800
  30. 10.1016/j.econedurev.2008.03.004
  31. 10.1017/S0022381613001266
  32. 10.7208/chicago/9780226626611.001.0001
  33. 10.1177/0309132514548303
  34. 10.1515/9781400821617
  35. 10.1162/DRAM_a_00221
  36. 10.1093/acprof:oso/9780198728863.001.0001
  37. 10.1108/TG-12-2012-0015
  38. 10.1287/isre.7.1.111
  39. 10.5744/rhm.2019.1015
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