Angie Zhang

Orcid: 0000-0002-9850-2783

According to our database1, Angie Zhang authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Demystifying Technology for Policymaking: Exploring the Rideshare Context and Data Initiative Opportunities to Advance Tech Policymaking Efforts.
CoRR, 2024

Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities.
CoRR, 2024

Empowering and Centering Impacted Stakeholders in AI Design.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

Worker Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

Data Probes as Boundary Objects for Technology Policy Design: Demystifying Technology for Policymakers and Aligning Stakeholder Objectives in Rideshare Gig Work.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation.
Proc. ACM Hum. Comput. Interact., April, 2023

Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Understanding Effects of Algorithmic vs. Community Label on Perceived Accuracy of Hyper-partisan Misinformation.
Proc. ACM Hum. Comput. Interact., 2022

Algorithmic Management Reimagined For Workers and By Workers: Centering Worker Well-Being in Gig Work.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being Models.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021


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