Dorottya (Dora) Demszky

Assistant Professor in Education Data Science



Graduate School of Education

Stanford University



Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks


Journal article


Li Lucy*, Dorottya Demszky*, Patricia Bromley, Dan Jurafsky
AERA Open, vol. 6, SAGE Publications Sage CA: Los Angeles, CA, 2020

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Cite

APA   Click to copy
Lucy*, L., Demszky*, D., Bromley, P., & Jurafsky, D. (2020). Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks. AERA Open, 6.


Chicago/Turabian   Click to copy
Lucy*, Li, Dorottya Demszky*, Patricia Bromley, and Dan Jurafsky. “Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks.” AERA Open 6 (2020).


MLA   Click to copy
Lucy*, Li, et al. “Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks.” AERA Open, vol. 6, SAGE Publications Sage CA: Los Angeles, CA, 2020.


BibTeX   Click to copy

@article{lucy2020a,
  title = {Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks},
  year = {2020},
  journal = {AERA Open},
  publisher = {SAGE Publications Sage CA: Los Angeles, CA},
  volume = {6},
  author = {Lucy*, Li and Demszky*, Dorottya and Bromley, Patricia and Jurafsky, Dan}
}

* indicates equal contribution
🎉
2020 Education Data Science Conference Best Paper Award




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