Nick Beauchamp

Nick Beauchamp
I am an Associate Professor in the Department of Political Science and the Network Science Institute at Northeastern University. My research examines how political opinions form and change as a result of discussion, deliberation and argument in domains such as legislatures, campaigns, and social media, using techniques from natural language processing, Bayesian statistics, and network analysis.


If you're addicted to polls and watch for daily or weekly changes, check out Derivative Polling, a simple poll aggregator that tracks poll changes within each pollster.


Research Areas

American Politics: Political Communication, Social Networks, Deliberation, Congress, Political Psychology
Political Methodology: Natural Language Processing, Network Analysis, Machine Learning, Bayesian Methods


Peer-reviewed Journals and Proceedings   (Google scholar page)

MOKA: Moral Knowledge Augmentation for Moral Event Extraction. Proceedings of the 2024 North American Association for Computational Linguistics (NAACL) (X.F. Zhang, W. Wu, N. Beauchamp, and L. Wang ) Forthcoming 2024.
Abstract   Paper

Construction Risk Identification using a Multi-sentence Context-aware Method. Automation in Construction (N. Gao, A. Touran, Q. Wang, N. Beauchamp) Forthcoming 2024.
Abstract   Paper

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 15472-15488. (Y. Liu, X.F. Zhang, K. Zou, R. Huang, N. Beauchamp, and L. Wang ) 2023.
Abstract   Paper

How expertise mediates the effects of numerical and textual communication on individual and collective accuracy. Decision, 11(1), 194-211. (N. Beauchamp, S. Shugars, B. Swire-Thompson, D. Lazer). 2023.
Abstract   Paper

Unveiling Partisan and Counter-Partisan Events in News Reporting. Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 621-632. (K. Zou, X. F. Zhang, W. Wu, N. Beauchamp, L. Wang) 2023.
Abstract   Paper

"This Candle Has No Smell": Detecting the effect of Covid anosmia on Amazon reviews using Bayesian Vector Autoregression. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) 16(1), 1363-1367. (N. Beauchamp) 2022.
Abstract   Paper   Poster   Video   Data   Update 6/1/22: reviews now predict cases   Update 10/10/22: reviews rising, cases falling
Epilogue: On June, 2023, Amazon removed the ability to collect past reviews, thus ending yet another Covid measurement tool. : (

A Generative Entity-to-Entity Stance Detection Framework. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 9950-9969. (X.F. Zhang, N. Beauchamp and L. Wang) 2022.
Abstract   Paper

Sentence-level Media Bias Analysis Informed by Discourse Structures. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 10040-10050. (Y. Lei, R. Huang, L. Wang, N. Beauchamp) 2022.
Abstract   Paper

"A Multisource Database Tracking the Impact of the COVID-19 Pandemic on the Communities of Boston, MA" Nature Scientific Data. (A. Ristea et al.) 2022.
Abstract   Paper

"POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection," Proceedings of the North American Association for Computational Linguistics (NAACL, Short papers) (Y. Liu, X. F. Zhang, D. Wegsman, N. Beauchamp, L. Wang) 2022.
Abstract   Paper

"DebateVis: Visualizing Political Debates for Non-Expert Users." IEEE VIS Short Papers (L. South, M. Schwab, N. Beauchamp, L. Wang, J. Wihbey and M.A. Borkin) 2020.
Abstract   Paper

"Educational Accountability and State ESSA Plans," Education Policy (J. Portz and N. Beauchamp) 2020.
Abstract   Paper

"Why Keep Arguing? Predicting Engagement in Political Conversations Online," Sage Open (S. Shugars and N. Beauchamp) 2019.
Abstract   Paper

"Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse," Proceedings of the North American Association for Computational Linguistics(X. Zeng, J. Li, L. Wang, N. Beauchamp, S. Shugars and K.F. Wong) 2018.
Abstract   Paper

"Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes," Transactions of the Association for Computational Linguistics (L. Wang, N. Beauchamp, S. Shugars and K. Qin) 2018.
Abstract   Paper

"Predicting and Interpolating State-level Polls using Twitter Textual Data," American Journal of Political Science (N. Beauchamp) 2017.
Abstract   Paper

"What Terrorist Leaders Want: A Content Analysis of Terrorist Propaganda Videos," Studies in Conflict and Terrorism (M. Abrahms, N. Beauchamp and J. Mroszczyk) 2016.
Abstract   Paper

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

Book Chapters

"Modeling and Measuring Deliberation Online," Book chapter, Oxford Handbook of Networked Communication (N. Beauchamp) 2018.
Abstract   Paper

"Measuring Public Opinion with Social Media Data," Book chapter, Oxford Handbook of Polling and Polling Methods (M. Klasnja, P. Barbera, N. Beauchamp, J. Nagler and J.A. Tucker) 2017.
Abstract   Paper

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

What Yankee Candle reviews can tell us about COVID, NPR's. All Things Considered, (NPR article); Rachel Maddow, MSNBC opening segment; 'Zero scent': could negative reviews of smelly candles hint at a Covid surge?, The Guardian; Customers are Flooding Yankee Candle's Amazon reviews with claims that the candles have no scent, but the surge in Omicron cases may be to blame Business Insider; Well, People Can't Smell their Candles Again, Gawker; Hmm, Angry Reviews of Candles are Spiking Again, Input. 2021-2022.

Moving through a 'space of hate' NiemanLab. 2018.

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

Inside the Message Machine that Could Make Politicians More Persuasive NPR's. All Things Considered; "The Persuasion Principle," Impact: Journal of the Market Research Society; An Algorithm to Help Politicians Pander Wired; How to Make Your Speeches Better, Automatically Pacific Standard. 2015-2016.


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)


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