Nick Beauchamp

Nick Beauchamp
I am an Assistant Professor of Political Science at Northeastern University, a member of the core faculty at the Network Science Institute, and a core faculty member of the NULAB for Text, Maps and Networks. My research examines how political opinions form and change as a result of discussion, deliberation and argument in domains such as legislatures, campaigns, social media, and the judiciary, using techniques from machine learning, computational text analysis, and network analysis.


Research Interests

American Politics: Political Behavior, Politican Communication, Social Networks, Congress, Political Psychology

Political Methodology: Natural Language Processing, Network Analysis, Machine Learning, Bayesian Methods



"DebateVis: Visualizing Political Debates for Non-Expert Users." IEEE VIS Short Papers 2020. (with South, L., Schwab, M., Wang, L., Wihbey, J., & Borkin, M.)

"Educational Accountability and State ESSA Plans," Education Policy 2020. (with John Portz)

"Why Keep Arguing? Predicting Engagement in Political Conversations Online," Sage Open 2019. (with Sarah Shugars)

"Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse," Proceedings of the North American Association for Computational Linguistics 2018. (with Xingshan Zeng, Jing Li, Lu Wang, Sarah Shugars, Kam-Fai Wong)

"Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes," Transactions of the Association for Computational Linguistics 2018 (with Lu Wang, Sarah Shugars, and Kechen Qin)

"Predicting and Interpolating State-level Polls using Twitter Textual Data," American Journal of Political Science 2017

"What Terrorist Leaders Want: A Content Analysis of Terrorist Propaganda Videos," Studies in Conflict and Terrorism, 2016 (with Max Abrahms and Joseph Mroszczyk)

"A Bottom-up Approach to Linguistic Persuasion in Advertising," (Research Note) The Political Methodologist, 2011.

Book Chapters

"Modeling and Measuring Deliberation Online," Book chapter, Oxford Handbook of Networked Communication, 2018.

"Measuring Public Opinion with Social Media Data," Book chapter, Oxford Handbook of Polling and Polling Methods, 2017 (with Marko Klasnja, Pablo Barbera, Joshua Tucker and Jonathan Nagler)

Other research works

"Visualizing Biographies of Artists of the Middle East," Exhibit, The Amory Art Show, New York, March 2015
Excerpt 1: Biography plotmaps   Excerpt 2: Co-exhibition network

The State of the Union Address in a Single Image The Monkey Cage,, January 2015

A Network Analysis of the Ferguson Witness Reports The Monkey Cage,, December 2014

"The Ideological Position of Obama's SOTU Relative to Past Presidents," The Monkey Cage,, January 2012

"Findings of an independent panel on allegations of statistical evidence for fraud during the 2004 Venezuelan Presidential recall referendum," in Observing the Venezuela Presidential Recall Referendum: Comprehensive Report, The Carter Center, 2004 (with Henry Brady, Richard Fowles, Aviel Rubin, and Jonathan Taylor)

Research in the news

Moving through a 'space of hate' NiemanLab, August 2018

This algorithm identifies the key ingredients to winning a debate Digital Trends, June 2018

"The Persuasion Principle," Impact: Journal of the Market Research Society, London UK, January 2016

Inside the Message Machine that Could Make Politicians More Persuasive NPR's All Things Considered, October 2015

An Algorithm to Help Politicians Pander Wired magazine, October 2015

How to Make Your Speeches Better, Automatically Pacific Standard magazine, September 2015

Working Papers

(Please feel free to email me for working drafts of any of these papers.)

"Wisdom over Madness: How the resilience of experts to social information improves collective intelligence," (Revise and Resubmit)

"Conceptual Network Structures are Correlated with Ideology and Personality," (Under review)

"Climbing Mount Obamacare: Experimentally Optimized Textual Treatments,"

"Visualizing and Modeling Rhetorical Structures in Individual Documents,"

" 'Someone is Wrong on the Internet': Political Argument as the Exchange of Conceptually Networked Ideas"

"Blossom: A new evolutionary strategy optimizer with applications to matching and sampling"

"A Bottom-up Approach to Linguistic Persuasion in Advertising"

"Using Text to Scale Legislatures with Uninformative Voting"



Introduction to Computational Statistics, INSH 5301 (Syllabus)
Bayesian and Network Statistics, NETS 7983 (Syllabus)
Social Network Analysis, POLS 7334 (Syllabus)
Congress, POLS 3300 and POLS 7251 (Syllabus)
Bostonography, INSH 2102 (Syllabus)


Social Networks, Columbia University, Spring 2013
Data Analysis for the Social Sciences, Columbia University, Fall 2012, Spring 2013 (Syllabus)
Math for Political Scientists, Columbia University, Fall 2012 (Syllabus)
Power and Politics in America, Teaching Assistant, NYU, Spring 2011
Math for Political Science, Teaching Assistant, NYU, Fall 2008
Game Theory I, Teaching Assistant, NYU, Spring 2008
Quantitative Methods I, Teaching Assistant, NYU, Fall 2007

Education and Employment

Assistant Professor, Department of Political Science, Northeastern University, 2013-

Lecturer in Discipline, Department of Political Science and Quantitative Methods in the Social Sciences Program, Columbia University, 2012-2013

Ph.D., Political Science, New York University, September 2012
M.A., Literature in English, Johns Hopkins University, 2001
B.A., Philosophy, English, Yale University, 1996


Nicholas Beauchamp
Department of Political Science
960A Renaissance Park
360 Huntington Avenue
Northeastern University
Boston, MA 02115

Office: RP 931 & Network Science Institute, 208
Email: n D0T beauchamp