# A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research

arXiv: https://arxiv.org/abs/2207.04171 · HTML: https://mlsanity.com/paper/2207.04171/

## Key facts

- Cited by 14 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 146 references that are in the map.
- First posted on arXiv 9 Jul 2022.

## Builds on (most cited first, 4 of 4)

- [Participation is not a Design Fix for Machine Learning](https://mlsanity.com/paper/2007.02423/) (2020)
- [ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia](https://mlsanity.com/paper/1909.05189/) (2019)
- [Community-Empowered Air Quality Monitoring System](https://mlsanity.com/paper/1804.03293/) (2018)
- [Chasing Lions: Co-Designing Human-Drone Interaction in Sub-Saharan Africa](https://mlsanity.com/paper/2005.02022/) (2020)

## Built on by (most cited first, 14 of 14)

- [AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia](https://mlsanity.com/paper/2305.11844/) (2023)
- [Farsight: Fostering Responsible AI Awareness During AI Application Prototyping](https://mlsanity.com/paper/2402.15350/) (2024)
- ["It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologies](https://mlsanity.com/paper/2402.02639/) (2024)
- ["Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism](https://mlsanity.com/paper/2501.17299/) (2025)
- [A Computational Method for Measuring "Open Codes" in Qualitative Analysis](https://mlsanity.com/paper/2411.12142/) (2024)
- [Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs](https://mlsanity.com/paper/2402.17082/) (2024)
- [Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance](https://mlsanity.com/paper/2408.01458/) (2024)
- [Grounded Intuition of GPT-Vision's Abilities with Scientific Images](https://mlsanity.com/paper/2311.02069/) (2023)
- [AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals](https://mlsanity.com/paper/2412.15444/) (2024)
- [Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation](https://mlsanity.com/paper/2503.03186/) (2025)
- [Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban China](https://mlsanity.com/paper/2507.01548/) (2025)
- [How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape](https://mlsanity.com/paper/2601.06033/) (2025)
- [Making Videos Accessible for Blind and Low Vision Users Using a Multimodal Agent Video Player](https://mlsanity.com/paper/2602.04104/) (2026)
- [ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-Art Discovery](https://mlsanity.com/paper/2605.16902/) (2026)

## Abstract (arXiv)

HCI researchers have been gradually shifting attention from individual users to communities when engaging in research, design, and system development. However, our field has yet to establish a cohesive, systematic understanding of the challenges, benefits, and commitments of community-collaborative approaches to research. We conducted a systematic review and thematic analysis of 47 computing research papers discussing participatory research with communities for the development of technological artifacts and systems, published over the last two decades. From this review, we identified seven themes associated with the evolution of a project: from establishing community partnerships to sustaining results. Our findings suggest that several tensions characterize these projects, many of which relate to the power and position of researchers, and the computing research environment, relative to community partners. We discuss the implications of our findings and offer methodological proposals to guide HCI, and computing research more broadly, towards practices that center communities.