- Jan 2023
Seven Principles of Data Feminism
- Examine power
- Challenge power
- Rethink binaries and hierarchies
- Elevate emotion an embodiment
- Embrace pluralism
- Consider context
- Make labor visible
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
- Data Feminism
- Catherine D'Ignazio
- orality vs. literacy
- invisible labor
- intersectional feminism
- dodging the memory hole
- topic modeling
- Lauren F. Klein
- defunding police
- emotional labor
- aspirational abolitionism
- data science
- power frameworks
- Mar 2017
This brings into women's writing an element which is entirely absent from a man's, unless, indeed, he happens to be a work-ing-man, a Negro, or one who for some other rea-son is conscious of disability.
Is she acknowledging the intersectionality of feminism?