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Patrick Wu
Natural Language Processing (NLP)
Computational Social Science
Affective Polarization On Social Media
Hateful And Abusive Speech Detection
Political Elite Ideology Analysis
4400 Massachusetts Avenue NW
About
Prof. Patrick Wu's research focuses on developing AI/ML and natural language processing approaches to computational social science. These methods address research questions about topics such as political elite and non-elite ideology, affective polarization on social media, and hateful and abusive speech and memes.
Research Performance Summary
2017-2025
Active Research Span
First Recorded Paper
Using twitter to observe election incidents in the united states
Year:
2017
Citations:
13
Venue:
Annual meeting of the midwest political science association, chicago
Latest Recorded Paper
Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches
Year:
2025
Citations:
0
Venue:
arXiv preprint arXiv:2506.06540
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Mebane Jr
Nagler
Tucker
Research Impact by Period
Papers
5
Citations
15
Avg. Citations / Paper
3
H-Index
3
Papers
6
Citations
162
Avg. Citations / Paper
27
H-Index
5
Papers
3
Citations
33
Avg. Citations / Paper
11
H-Index
3
Contact and Professional Links
Detected Research Keywords
Language Models Can
Election Incidents United
Incidents United States