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, and social media, using techniques from machine learning, computational text analysis, and network analysis.
American Politics: Political Communication, Social Networks, Deliberation, Congress, Political Psychology
Political Methodology: Natural Language Processing, Network Analysis, Machine Learning, Bayesian Methods
"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 Presentation Data Update to 6/1/22: reviews are now predictive
"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.
"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.
"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.
"Educational Accountability and State ESSA Plans," Education Policy (J. Portz and N. Beauchamp) 2020.
"Why Keep Arguing? Predicting Engagement in Political Conversations Online," Sage Open (S. Shugars and N. Beauchamp) 2019.
"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.
"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.
"Predicting and Interpolating State-level Polls using Twitter Textual Data," American Journal of Political Science (N. Beauchamp) 2017.
"What Terrorist Leaders Want: A Content Analysis of Terrorist Propaganda Videos," Studies in Conflict and Terrorism (M. Abrahms, N. Beauchamp and J. Mroszczyk) 2016.
"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.
"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.
"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, Washingtonpost.com, January 2015
A Network Analysis of the Ferguson Witness Reports The Monkey Cage, Washingtonpost.com, December 2014
"The Ideological Position of Obama's SOTU Relative to Past Presidents," The Monkey Cage, Washingtonpost.com, 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)
Rachel Maddow, MSNBC opening segment; 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; Brace yourselves, one-star candle reviews are spiking again, BoingBoing. 2021-2022.
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; Inside the Message Machine that Could Make Politicians More Persuasive NPR's All Things Considered; An Algorithm to Help Politicians Pander Wired magazine; How to Make Your Speeches Better, Automatically Pacific Standard magazine, 2015-2016.
(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,"
"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)