Embeddings

This week we will look at some of the examples of applied research in social sciences using word embeddings.

Required Readings

  • Pedro L. Rodriguez and Arthur Spirling. 2022. “Word Embeddings: What works, what doesn’t, and how to tell the difference for applied research.” Journal of Politics 84 (1): 101–115. http://arthurspirling.org/documents/embed.pdf
  • Kozlowski, Austin C., Matt Taddy, and James A. Evans. 2019. “The Geometry of Culture: Analyzing the Meanings of Class through Word Embeddings.” American Sociological Review 84 (5): 905–49. https://doi.org/10.1177/0003122419877135

Additional Readings

  • Rodriguez, Pedro L., Arthur Spirling, and Brandon M. Stewart. 2023. “Embedding Regression: Models for Context-Specific Description and Inference.” American Political Science Review 117 (4): 1255–74. https://doi.org/10.1017/S0003055422001228
  • Rodman, Emma. 2020. “A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors.” Political Analysis 28 (1): 87–111.
  • Ludovic Rheault and Christopher Cochrane. 2020. “Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora.” Political Analysis 28 (1): 112–133 https://lrheault.github.io/downloads/rheaultcochrane2019_pa.pdf
  • Charlesworth, Tessa E. S., Aylin Caliskan, and Mahzarin R. Banaji. 2022. “Historical Representations of Social Groups across 200 Years of Word Embeddings from Google Books.” Proceedings of the National Academy of Sciences 119 (28): e2121798119. https://doi.org/10.1073/pnas.2121798119