Editing Text as Data (Spring 2026) (section)

=== Wednesday April 1: Introducing Text as Data ===
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'''Resources'''
* [https://canvas.uw.edu/courses/1883473/assignments/11284652 Daily Problem Set #1]

'''Required Readings:'''
* Grimmer, Justin, and Brandon M. Stewart. 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts." ''Political Analysis'', January 22, mps028. https://doi.org/10.1093/pan/mps028. {{avail-uw|https://doi.org/10.1093/pan/mps028}} <!-- zotero:KBP5J35F -->
* Michel, Jean-Baptiste, Yuan Kui Shen, Aviva Presser Aiden, et al. 2011. "Quantitative Analysis of Culture Using Millions of Digitized Books." ''Science'' 331 (6014): 176–82. https://doi.org/10.1126/science.1199644. {{avail-uw|https://doi.org/10.1126/science.1199644}} <!-- zotero:JKJFGZ6J -->
* Bollen, Johan, Huina Mao, and Xiaojun Zeng. 2011. "Twitter Mood Predicts the Stock Market." ''Journal of Computational Science'' 2 (1): 1–8. https://doi.org/10.1016/j.jocs.2010.12.007. {{avail-free|https://arxiv.org/pdf/1010.3003}} <!-- zotero:BPBCM7DD -->

'''Optional Readings:'''
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* Grimmer, Stewart, and Roberts: Ch. 1–2 (pp. 3–32) <!-- zotero:ignore -->
* Gentzkow, Matthew, Bryan Kelly, and Matt Taddy. 2019. "Text as Data." ''Journal of Economic Literature'' 57 (3): 535–74. https://doi.org/10.1257/jel.20181020. {{avail-uw|https://doi.org/10.1257/jel.20181020}} <!-- zotero:LBD67SIP -->