Can Data Work be Reparative?

📰 ArXiv cs.AI

Learn how a civic-tech initiative is redefining data work to address online safety concerns from a feminist perspective, promoting repair and redress

intermediate Published 9 Jun 2026
Action Steps
  1. Conduct ethnographic research to understand the impact of online harms on marginalized communities
  2. Collaborate with affected communities to build datasets for training online safety systems
  3. Apply feminist principles to data work to prioritize repair and redress
  4. Develop alternative approaches to data collection and analysis
  5. Evaluate the effectiveness of these approaches in promoting online safety
Who Needs to Know This

Data scientists, product managers, and civic-tech teams can benefit from this approach to create more inclusive and equitable data-driven solutions

Key Insight

💡 Involving marginalized communities in data work can lead to more inclusive and equitable solutions

Share This
🚨 Data work can be reparative! Learn how civic-tech initiatives are redefining data collection to address online safety concerns #datascience #feministtech

Key Takeaways

Learn how a civic-tech initiative is redefining data work to address online safety concerns from a feminist perspective, promoting repair and redress

Read full paper → ← Back to Reads

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