Molly Roberts, speaking on “Adjusting for Confounding with Text Matching”
The Hoover Institution announces a new seminar series on Using Text as Data in Policy Analysis, co-organized by Steven J. Davis and Justin Grimmer. These seminars will feature applications of natural language processing, structured human readings, and machine learning methods to text as data to examine policy issues in economics, history, national security, political science, and other fields.
Our 1st session features a conversation with Molly Roberts speaking on Adjusting for Confounding with Text Matching on Tuesday, April 27, 2021 from 9:00AM – 10:30AM PT. The paper under discussion is here, and Molly’s presentation slides are here.
For those who are new to text analysis, Molly recommends the following sources to get started:
- Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts, by Justin Grimmer and Brandon M. Stewart (2013)
- Quanteda package and Tutorials, by By Kohei Watanabe and Stefan Müller
- Text Mining with R., by Julia Silge and David Robinson
Click here for Part 2 of the seminar series: What Triggers Stock Market Jumps?
ABOUT THE SPEAKER:
Margaret Roberts is an Associate Professor at UC San Diego in the Department of Political Science and the Halıcıoğlu Data Science Institute. Her research interests lie in the intersection of political methodology and the politics of information, specifically focused on censorship and propaganda, digital politics, and the use of text analysis in social science. Her work has appeared in venues such as the American Journal of Political Science, American Political Science Review, Political Analysis and Science. Her recent book “Censored: Distraction and Diversion Inside China’s Great Firewall” was listed as one of the Foreign Affairs Best Books of 2018, was honored with the Goldsmith Book Award, and has been awarded the Best Book Award in the Human Rights Section and Information Technology and Politics Section of the American Political Science Association. She received a Ph.D. from Harvard University in 2014 and M.S. in Statistics from Stanford University in 2009. She holds the Chancellor's Associates Endowed Chair I at UCSD. Click here for complete bio.
WATCH THE DISCUSSION
