Social media / contextual NLPviolence prevention and contextual social media analysisParticipation documented
Artificial Intelligence and Inclusion: Formerly Gang-Involved Youth as Domain Experts
New York City, United States
The paper argues for and documents involving formerly gang-involved youth as domain experts to interpret language, context, and events in social media data from marginalized communities.
contextual integrityinclusionparticipatory researchproblem formulationdata labelingevaluation
- Region
- North America
- Lead organization
- Columbia University SAFE Lab
- Organization type
- university / research lab
- Technology group
- NLP / text analytics
- Activity status
- published_case
- Start year
- 2018
- Last updated
- Mar 25, 2026
- Participation mode
- formerly gang-involved youth as domain experts in model and data interpretation
- Participants
- formerly gang-involved youth; researchers
- Methods
- participatory annotation; domain-expert interpretation; iterative coding
- AI lifecycle stages
- problem formulation; data labeling; evaluation
- Evidence summary
- The paper argues for and documents involving formerly gang-involved youth as domain experts to interpret language, context, and events in social media data from marginalized communities.
- Atlas assessment
- Core · Medium confidence · evidence grade B
- Uncertainty
- Stakeholder roles are clearly described in the paper, but public project documentation outside the publication is limited.
- Participation group
- Co Production
- Technology description
- NLP / text analytics
- Funding
- Not documented
- Region of activity
- local
- Verification status
- Paper Verified
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