Expand ↗
Page list (52)

The Datafication of #MeToo

Reference: Kathryn Henne, Renee Shelby & Jenna Harb (2021). “The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies.” Big Data & Society, 8(2). DOI 10.1177/20539517211055898.

Summary

A critical study of Reporting Apps — software platforms and AI chatbots that offer users emergency assistance, education, and a way to report and build evidence against perpetrators of Gender-Based Violence. Through an in-depth analysis of two reporting apps, Henne, Shelby and Harb argue that these tools construct data to fit institutionally legible narratives of violence, and in doing so reproduce racial capitalism: they extract information from users, reinforce property relations built on data ownership and accumulation, commodify “diversity and inclusion,” and often sustain problematic ties to the criminal legal system.

Its value to this vault is as a counterweight to celebratory framings of safety tech. It foregrounds the racialised dimensions of the data capital these apps generate, and warns that the design choice to “build evidence” is never neutral — it shapes whose stories become legible and who benefits from the resulting data. The authors note these dynamics are not unique to anti-violence apps but are constitutive of digital platforms generally.

Key ideas

  • Anti-violence reporting apps are datafication engines as much as support tools — the data they generate is itself capital.
  • “Institutionally legible” evidence privileges some narratives (and some survivors) over others.
  • Entanglement with the Criminal Legal System is a design feature, not an accident, and carries racialised risks.
  • Extraction, financial partnerships, and commodified inclusion recur across platforms, not just safety apps.

Connections

Sources

Tags: #research #critical #datafication #reporting-apps

Last changed by zetl · stable 5d · history

Backlinks