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A Novel Method for Analysing Racial Bias: Appendix: Hyperparameter Sensitivityby@escholar
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A Novel Method for Analysing Racial Bias: Appendix: Hyperparameter Sensitivity

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In this study, researchers propose a novel method to analyze representations of African Americans and White Americans in books between 1850 to 2000.
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This paper is available on arxiv under CC 4.0 license.

Authors:

(1) Muhammed Yusuf Kocyigit, Boston University;

(2) Anietie Andy, University of Pennsylvania;

(3) Derry Wijaya, Boston University.

Appendix: Hyperparameter Sensitivity

We conduct our experiments with an array of hyperparameters to observe the effects of the sampling size and the negative sampling ration and observe that the results are relatively stable. Below are the results for k=[500K, 1M] and n=[1,4,10,20]


Table 2: Caption


Table 3: Kolmogorov–Smirnov two-sample test for the African American Embeddings in Table 5


Table 4: Kolmogorov–Smirnov two-sample test for the White American Embeddings in Table 5


Figure 9: Correlation heatmap for k=500K, n=1. Left-White Americans, Right-African American


Figure 10: Correlation heatmap for k=500K, n=4. Left-White Americans, Right-African American



Figure 12: Correlation heatmap for k=500K, n=20. Left-White Americans, Right-African American


Figure 13: Correlation heatmap for k=1M, n=1. Left-White Americans, Right-African American



Figure 15: Correlation heatmap for k=1M, n=10. Left-White Americans, Right-African American


Figure 16: Correlation heatmap for k=1M, n=120. Left-White Americans, Right-African American