| Predicting and interpolating state‐level polls using Twitter textual data N Beauchamp American Journal of Political Science 61 (2), 490-503, 2017 | 206 | 2017 |
| Measuring public opinion with social media data M Klašnja, P Barberá, N Beauchamp, J Nagler, JA Tucker | 84 | 2015 |
| What terrorist leaders want: A content analysis of terrorist propaganda videos M Abrahms, N Beauchamp, J Mroszczyk Studies in Conflict & Terrorism 40 (11), 899-916, 2017 | 60 | 2017 |
| POLITICS: Pretraining with same-story article comparison for ideology prediction and stance detection Y Liu, XF Zhang, D Wegsman, N Beauchamp, L Wang arXiv preprint arXiv:2205.00619, 2022 | 59 | 2022 |
| Why keep arguing? Predicting engagement in political conversations online S Shugars, N Beauchamp Sage Open 9 (1), 2158244019828850, 2019 | 48 | 2019 |
| Winning on the merits: The joint effects of content and style on debate outcomes L Wang, N Beauchamp, S Shugars, K Qin Transactions of the Association for Computational Linguistics 5, 219-232, 2017 | 46 | 2017 |
| Educational accountability and state ESSA plans J Portz, N Beauchamp Educational Policy 36 (3), 717-747, 2022 | 44 | 2022 |
| Using text to scale legislatures with uninformative voting N Beauchamp New York University Mimeo, 2011 | 35 | 2011 |
| Microblog conversation recommendation via joint modeling of topics and discourse X Zeng, J Li, L Wang, N Beauchamp, S Shugars, KF Wong Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 34 | 2018 |
| Sentence-level media bias analysis informed by discourse structures Y Lei, R Huang, L Wang, N Beauchamp Proceedings of the 2022 conference on empirical methods in natural language …, 2022 | 29 | 2022 |
| Modeling and Measuring Deliberation Online Beauchamp Oxford Handbook of Networked Communication, 321-349, 2020 | 19 | 2020 |
| DebateVis: Visualizing political debates for non-expert users L South, M Schwab, N Beauchamp, L Wang, J Wihbey, MA Borkin 2020 IEEE Visualization Conference (VIS), 241-245, 2020 | 16 | 2020 |
| Text-based scaling of legislatures: A comparison of methods with applications to the US Senate and UK House of Commons N Beauchamp Unpublished manuscript, 2010 | 12 | 2010 |
| The Oxford handbook of polling and survey methods M Klašnja, P Barberá, N Beauchamp, J Nagler, JA Tucker Edited by Lonna Rae Atkeson and R. Michael Alvarez, 2018 | 8 | 2018 |
| “This Candle Has No Smell”: Detecting the Effect of COVID Anosmia on Amazon Reviews Using Bayesian Vector Autoregression N Beauchamp Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 7 | 2022 |
| A Bottom-up Approach to Linguistic Persuasion in Advertising N Beauchamp The Political Methodologist, 2011 | 7 | 2011 |
| Generative entity-to-entity stance detection with knowledge graph augmentation XF Zhang, N Beauchamp, L Wang arXiv preprint arXiv:2211.01467, 2022 | 6 | 2022 |
| A multisource database tracking the impact of the COVID-19 pandemic on the communities of Boston, MA, USA A Ristea, R Tucker, S You, M Amiri, N Beauchamp, E Castro, Q Chen, ... Scientific Data 9 (1), 330, 2022 | 6 | 2022 |
| How to Scale Legislatures with Text: A comparison of methods, with applications to the US Congress and UK House of Commons N Beauchamp Working paper, 2011 | 5 | 2011 |
| MOKA: Moral Knowledge Augmentation for Moral Event Extraction XF Zhang, W Wu, N Beauchamp, L Wang arXiv preprint arXiv:2311.09733, 2023 | 2 | 2023 |
Lu WangAssociate Professor, Computer Science and Engineering, University of Michigan在 umich.edu 的电子邮件经过验证
