Dispersion Vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes

Author:

Holder Eli1,Xiong Cindy2ORCID

Affiliation:

1. 3iap, USA

2. UMass, Amherst, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. My Model is Unfair, Do People Even Care? Visual Design Affects Trust and Perceived Bias in Machine Learning;IEEE Transactions on Visualization and Computer Graphics;2024-01

3. Open Questions About the Visualization of Sociodemographic Data;2023 IEEE Workshop on Visualization for Social Good (VIS4Good);2023-10-22

4. We are the Data: Challenges and Opportunities for Creating Demographically Diverse Anthropographics;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

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