https://www.complexityexplorer.org/courses/162-foundations-applications-of-humanities-analytics/segments/15630

https://www.youtube.com/watch?v=HwkRfN-7UWI

Seven Principles of Data Feminism

• Examine power
• Challenge power
• Rethink binaries and hierarchies
• Elevate emotion an embodiment
• Embrace pluralism
• Consider context
• Make labor visible

Abolitionist movement

There are some interesting analogies to be drawn between the abolitionist movement in the 1800s and modern day movements like abolition of police and racial justice, etc.

Topic modeling - What would topic modeling look like for corpuses of commonplace books? Over time?

wrt article: Soni, Sandeep, Lauren F. Klein, and Jacob Eisenstein. “Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers.” Journal of Cultural Analytics 6, no. 1 (January 18, 2021). https://doi.org/10.22148/001c.18841. - Brings to mind the difference in power and invisible labor between literate societies and oral societies. It's easier to erase oral cultures with the overwhelm available to literate cultures because the former are harder to see.

How to find unbiased datasets to study these?

aspirational abolitionism driven by African Americans in the 1800s over and above (basic) abolitionism

Lee, Y. K., Jung, Y., Lee, I., Park, J. E., & Hahn, S. (2021). Building a Psychological Ground Truth Dataset with Empathy and Theory-of-Mind During the COVID-19 Pandemic. PsyArXiv. https://doi.org/10.31234/osf.io/mpn3w

Adelani, D. I., Kobayashi, R., Weber, I., & Grabowicz, P. A. (2020). Estimating community feedback effect on topic choice in social media with predictive modeling. EPJ Data Science, 9(1), 1–23. https://doi.org/10.1140/epjds/s13688-020-00243-w

McQuillan, L., McAweeney, E., Bargar, A., & Ruch, A. (2020). Cultural Convergence: Insights into the behavior of misinformation networks on Twitter. ArXiv:2007.03443 [Physics]. http://arxiv.org/abs/2007.03443

Westrupp, E., Greenwood, C., Fuller-Tyszkiewicz, M., Berkowitz, T., Hagg, L., & Youssef, G. J. (2020). Text Mining of Reddit Posts: Using Latent Dirichlet Allocation to Identify Common Parenting Issues [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/cw54u

Stokes, D. C., Andy, A., Guntuku, S. C., Ungar, L. H., & Merchant, R. M. (2020). Public Priorities and Concerns Regarding COVID-19 in an Online Discussion Forum: Longitudinal Topic Modeling. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-020-05889-w

Golino, H., Christensen, A. P., Moulder, R. G., Kim, S., & Boker, S. M. (2020, April 14). Modeling latent topics in social media using Dynamic Exploratory Graph Analysis: The case of the right-wing and left-wing trolls in the 2016 US elections. https://doi.org/10.31234/osf.io/tfs7c

Blake's account of Rachel is clearly distinct form the other narrators because of their romantic past. He mentions her frequently throughout his narrative. I would like to run a frequency count the number of times he mentions Rachel compared tot he rest of the narratives in the book. I wonder if it is possible to isolate the discussions of Rachel in each character's narrative and then do some topic modeling with the extracted texts to examine how Rachel is discussed by each character.