Additional Readings

There are many great examples of recent research papers that use the methods covered in this class. Unfortunately we will not have time to cover all of these papers. I highly recommend going through these papers:

• Text as Data Overview
  • How we do things with words: Analyzing text as social and cultural data Dong Nguyen, Maria Liakata, Simon DeDeo, Jacob Eisenstein, David Mimno, Rebekah Tromble, and Jane Winters. Frontiers in Artificial Intelligence 3 (2020): 62.
  • Text preprocessing for unsupervised learning: Why it matters, when it misleads, and what to do about it. Matthew J. Denny and Arthur Spirling. Political Analysis, 26(2):168–189, 2018.
  • Adapting computational text analysis to social science (and vice versa). Paul DiMaggio. Big Data & Society, 2015.
  • Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Justin Grimmer and Brandon M. Stewart. Political Analysis, 21(3):267–297, 2013.
  • Computational Text Analysis for Social Science: Model Assumptions and Complexity. Computational Text Analysis for Social Science: Model Assumptions and Complexity” O’Connor, B., Bamman, D., & Smith, N. A. (2011, December). Second workshop on comptuational social science and the wisdom of crowds (NIPS 2011). Weekly Homework - Due Mon, May 10, 2021
• Health
  • Narrative paths and negotiation of power in birth stories Antoniak, Maria, David Mimno, and Karen Levy. Proceedings of the ACM on Human-Computer Interaction 3.CSCW (2019): 1-27.
  • Quantifying Community Characteristics of Maternal Mortality Using Social Media Abebe, Rediet, Salvatore Giorgi, Anna Tedijanto, Anneke Buffone, and H. Andrew Andrew Schwartz. Proceedings of The Web Conference 2020. 2020.
• Mental Health
  • Quantifying the Effects of COVID-19 on Mental Health Support Forums. Biester, Laura, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, and Rada Mihalcea. Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020.
  • Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. De Choudhury, Munmun, Emre Kiciman, Mark Dredze, Glen Coppersmith, and Mrinal Kumar. In Proceedings of the 2016 CHI conference on human factors in computing systems, pp. 2098-2110. 2016.
• Political Science
  • Elites and foreign actors among the alt-right: The Gab social media platform. Zhou, Yuchen, Mark Dredze, David A. Broniatowski, and William D. Adler. First Monday (2019).
  • Terrorism as a Stage for Far-Right Mobilization. Mitts, Tamar. Under Review 2020.
  • Topic Modeling Official Secrecy. David Allen, Matthew Connelly, Daniel Krasner, Ian Langmore, Thomas Nyberg. Knowledge Discovery and Data Mining Conference, Bloomberg Headquarters, New York, NY, August 2014
• Social Work
  • Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression Blevins, Terra, Robert Kwiatkowski, Jamie Macbeth, Kathleen McKeown, Desmond Patton, and Owen Rambow. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pp. 2196-2206. 2016.