TIM-6540 V2

Baillie, K., Berger, M., & Brockmeier, E. (2020). The role of data in a world reshaped by COVID-19. Penn Today.
You may use this article for your assignment.

Deoras, S. (2021). 5 tools & frameworks that can clear bias from various datasets. Analytics India Magazine.
Great tools to uncover bias in data sets.

Felin, T., Koenderink, J., Krueger, J. I., Noble, D., & Ellis, G. F. R. (2021). Data bias. Genome Biology, 22(1), 59. https://doi.org/10.1186/s13059-021-02278-2
A nice discussion of data bias.

Wang, Y., & Singh, L. (2021). Analyzing the impact of missing values and selection bias on fairness. International Journal of Data Science and Analytics, 12(2), 101.
A good read on selection bias.

Houston, E., & Hinnefeld, H. (2020, September 24). Data bias: What is it and how can marketers mitigate its effects? RampUp.
Good tips and ideas.

Wang, Z., Yu, Z., Fan, R., & Guo, B. (2020). Correcting Biases in Online Social Media Data Based on Target Distributions in the Physical World. IEEE Access, 8, 15256–15264.
Good read on correcting data bias.

Qandi, G. A., & Rakhmawati, N. A. (2020). Survey of Fairness in Machine Learning for Indonesian General Election Research. 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE), 2020 3rd International Conference On, 19–24.
Interesting read on removing human biases.