This article maps the racial justice data repertoires of 11 community- and university-based projects at the nexus of racial and data justice. To examine them, I propose a typology of these co-occurring data activism strategies. Using a qualitative content analysis of organizations’ public statements (n = 74), the typology allows me to examine the diverse, strategic nature of racial justice data repertoires. Their wide array reveals the contentious racial politics of data, or the ways data reproduces racial inequalities but can also be mobilized to contest them.
Anti-Eviction Mapping Project (AEMP) (2018) AEMP handbook by the Anti-Eviction Mapping Project (AEMP). In: Capous-DesyllasMMorgaineK (eds) Creating Social Change through Creativity: Anti-Oppressive Arts-Based Research Methodologies. London: Palgrave Macmillan, pp. 289–308.
2.
BenjaminR (2019) Race after Technology: Abolitionist Tools for the New Jim Code. Cambridge: Polity Press.
3.
BeraldoDMilanS (2019) From data politics to the contentious politics of data. Big Data & Society6(2): 166–183.
4.
BrowneS (2015) Dark Matters: On the Surveillance of Blackness. Durham, NC: Duke University Press.
ChenouJ-MCepeda-MásmelaC (2019) #NiUnaMenos: data activism from the global south. Television & New Media20(4): 396–411.
7.
CiforMGarciaPCowanTL, et al. (2019) Feminist data manifest-no. Available at: https://www.manifestno.com (accessed 11 September 2022).
8.
CrooksRCurrieME (2021) Numbers will not save us: agonistic data practices. The Information Society37(4): 201–213.
9.
DencikLHintzACableJ (2016) Towards data justice? The ambiguity of anti-surveillance resistance in political activism. Big Data & Society3(2): 2053951716679678.
10.
DourishPGómez CruzE (2018) Datafication and data fiction: narrating data and narrating with data. Big Data & Society5(2): 2053951718784083.
11.
FriedlandWHRotkinM (2003) Academic activists: community studies at the University of California, Santa Cruz. In: DickinsonTD (ed.) Community and the World: Participating in Social Change. Hauppauge, NY: Nova Science Publishers, pp. 41–62.
12.
GandyOH (1993) The Panoptic Sort: A Political Economy of Personal Information (Critical Studies in Communication and in the Cultural Industries). Boulder, CO: Westview Press.
13.
GangadharanSPNiklasJ (2019) Decentering technology in discourse on discrimination. Information, Communication & Society22(7): 882–899.
HeeksRShekharS (2019) Datafication, development and marginalised urban communities: an applied data justice framework. Information, Communication & Society22(7): 992–1011.
16.
HemphillLHedstromMLeonardSH (2021) Saving social media data: understanding data management practices among social media researchers and their implications for archives. Journal of the Association for Information Science and Technology72(1): 97–109.
17.
HoffmannAL (2019) Where fairness fails: data, algorithms and the limits of antidiscrimination discourse. Information, Communication & Society22(7): 900–915.
18.
HubermanMMilesMB (2002) The Qualitative Researcher’s Companion. Thousand Oaks, CA: Sage.
19.
KazanskyBMilanS (2021) “Bodies not templates”: contesting dominant algorithmic imaginaries. New Media & Society23(2): 363–381.
20.
KrippendorffK (2004) Reliability in content analysis: some common misconceptions and recommendations. Human Communication Research30(3): 411–433.
21.
LacySWatsonBRRiffeD, et al. (2015) Issues and best practices in content analysis. Journalism & Mass Communication Quarterly92(4): 791–811.
22.
LehtiniemiTRuckensteinM (2019) The social imaginaries of data activism. Big Data & Society6(1): 2053951718821146.
23.
MagerAKatzenbachC (2021) Future imaginaries in the making and governing of digital technology: multiple, contested, commodified. New Media & Society23(2): 223–236.
24.
MaharawalMMMcElroyE (2018) The anti-eviction mapping project: counter mapping and oral history toward Bay Area housing justice. Annals of the American Association of Geographers108(2): 380–389.
MilanSTreréE (2019) Big data from the south(s): beyond data universalism. Television & New Media20(4): 319–335.
28.
MilanSTreréE (2021) Big data from the south(s): an analytical matrix to investigate data at the margins. In: RohlingerDSobierajS (eds) The Oxford Handbook of Sociology and Digital Media. Oxford: Oxford University Press, pp. 1–21.
29.
MilanSVan der VeldenL (2016) The alternative epistemologies of data activism. Digital Culture & Society2(2): 57–74.
Office of Policy Planning and Research (1965) The negro family: the case for national action. Report, United States Department of Labor, March. Available at: https://www.dol.gov/general/aboutdol/history/webid-moynihan (accessed 11 September 2022).
36.
RiffeDLacySFicoF (2014) Analyzing Media Messages: Using Quantitative Content Analysis in Research. 3rd ed.New York: Routledge.
37.
RuppertEIsinEBigoD (2017) Data politics. Big Data & Society4(2): 2053951717717749.
38.
SrivastavaPHopwoodN (2009) A practical iterative framework for qualitative data analysis. International Journal of Qualitative Methods8(1): 76–84.
Wells-BarnettIB (2012) The Red Record: Tabulated Statistics and Alleged Causes of Lynching in the United States. Hamburg: Tredition.
45.
ZamithRLewisS (2015) Content analysis and the algorithmic coder: what computational social science means for traditional modes of media analysis. The Annals of the American Academy of Political and Social Science659(1): 307–318.