My research spans a variety of topics in social and political science, social and decision neuroscience, and research methodology. On the substantive side, my current research is largely on electoral politics and voting behavior, in both the United States and other nations. On the methodological side, my research focuses on computational social science, machine and deep learning, and survey methodology.
Here are links to books and articles I’ve recently published.
Recent Books
Securing American Elections: How Data-Driven Election Monitoring Can Improve Our Democracy, with Nicholas Adams-Cohen, Seo-young Silvia Kim, and Yimeng Li. Cambridge Elements, September 2020.
The Oxford Handbook of Polling and Survey Methods, edited with Lonna Rae Atkeson, Oxford University Press, 2018.
Computational Social Science: Discovery and Prediction, Cambridge University Press, 2016.
Recent Articles
2024
Perceptions of Science, Science Communciation, and Climate Change Attitudes in 68 Countries - the TIPS Dataset. With Niels Mede, Viktoria Cologna, and others. Forthcoming, Scientific Data.
American Views About Election Fraud in 2024. With Mitchell Linegar. Forthcoming, Frontiers in Political Science.
Trust in scientists and their role in society across 68 countires. With Viktoria Cologna, Niels G. Mede, and others. Forthcoming, Nature Human Behavior. [Preprint].
Electoral Innovation and the Alaska Electoral System: Partisanship and Populism Are Associated with Support for the Top-4, Ranked-Choice Voting System.” With Christian Grose, J. Andrew Sinclair, and Betsy Sinclair. Political Research Quarterly, Preprint.
A Gladiatorial Arena: Incivility In the Canadian House of Commons. With Jacob Morrier. Journal of Politics, forthcoming. [Preprint].
Legislative Communication and Power: Measuring Leadership in the U.S. House of Representatives from Social Media Data. With Danny Ebanks, Betsy Sinclair, Sanmay Das and Hao Yan. European Political Science Review, forthcoming. [Blog with early working paper version].
Partisanship is Why People Vote in Person in a Pandemic. With Seo-Young Silvia Kim and Akhil Bandreddi. Social Science Quarterly. https://doi.org/10.1111/ssqu.13380 [Replication Materials].
Identifying American Climate Change Free Riders and Motivating Sustainable Behavior. With Beatrice Magistro, Cecilia Abramson, Danny Ebanks and Ramit Debnath. Scientific Reports. https://www.nature.com/articles/s41598-024-57042-w.
Challenges in Moderating Disruptive Player Behavior in Online Competitive Action Games. With Rafal Kocielnik, Zhuofang Li, Claudia Kann, Deshawn Sambrano, Jacob Morrier, Mitchell Linegar, Carly Taylor, Min Kim, Nabiha Naqvie, Feri Soltani, Arman Dehpanah, Grant Hill, and Animashree Anandkumar. Frontiers in Computer Science, Human-Media Interaction. February 23, 2023. Volume 6. https://doi.org/10.3389/fcomp.2024.1283735
Persuadable Voters Decided the 2022 Midterm: Abortion Rights and Issues-Based Frameworks for Studying Election Outcomes. With Daniel Ebanks, Claudia Kann and Jacob Morrier. PLOS ONE. https://doi.org/10.1371/journal.pone.0294047
2023
The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election. With Zhuofang Li, Jian Cao, Nicholas Adams-Cohen. In: Ceolin, D., Caselli, T., Tulin, M. (eds) Disinformation in Open Online Media. MISDOOM 2023. Lecture Notes in Computer Science, vol 14397. Springer. https://doi.org/10.1007/978-3-031-47896-3_7. [Open Access] [Code]
Do Fossil Fuel Firms Reframe Online Climate and Sustainability Communication? A Data-Driven Analysis. With Ramit Debnath, Daniel Ebanks, Kamair Mohaddes and Thomas Roulet. npj Climate Action, DOI: https://doi.org/10.1038/s44168-023-00086-x.
Large Language Models and Political Science. With Mitchell Linegar and Rafal Kocielnik. Frontiers in Political Science (Research Methodologies in Political Science: The Challenge of AI). DOI: doi: 10.3389/fpos.2023.1257092. [Abstract]
Why Don’t Americans Trust University Researchers and Why It Matters for Climate Change. With Daniel Ebanks and Ramit Debnath. PLOS Climate. DOI: https://doi.org/10.1371/journal.pclm.0000147. [Paper] [Data and Code].
Issue Responsiveness in Canadian Politics: Are Parties Responsive to the Public Salience of Climate Change in the Question Period”. With Jacob Morrier. Political Research Quarterly. DOI: https://doi.org/10.1177/10659129231194270. [Paper] [Preprint] [Data and Code].
Collective Identity in Collective Action: Evidence from the 2020 Summer BLM Protests. With Claudia Kann, Sarah Hashash, and Zachary Steinert-Threlkeld. Frontiers in Political Science. Volume 5, 2023. DOI: 10.3389/fpos.2023.1185633. [Paper] [gatherTweet Package].
AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models. With Rafal Kocielnik, Shrimai Prabhumoye, Vivian Zhang and Anima Anandkumar. ICML 2023 Workshop on Deployable Challenges for Generative AI. [Paper: arxiv] [Paper: OpenReview].
Conspiracy Spillovers and Geoengineering. With Ramit Debnath, David M. Reiner, Benjamin K. Sovacool, Finn Muller-Hansen, Tim Repke and Shaun D. Fitzgerald. iScience, February 28, 2023. [Paper].
COVID-Dynamic: A large-scale longitudinal study of socioemotional and behavioral change across the pandemic. With Tessa Rusch, et. al, and the COVID-Dynamic Team. Scientific Data, February 3, 2023. [Paper} [Data Access].
Facilitating System-Level Behavioural Climate Action Using Computational Social Science. With Ramit Debnath, Sander van der Linden and Benjamin K. Sovacool. Nature Human Behavior, correspondence, January 27, 2023. [Paper] [Open Access].
gatherTweet: A Python Package for Collecting Social Media Data on Online Events, with Claudia Kann, Sarah Hashash, Zachary Steinert-Threlkeld. Journal of Computer and Communications. Volume 11, Number 2, February 2023, DOI: 10.4236/jcc.2023.112012. [Paper] [gatherTweet package]
2022
Survey Attention and Self-Reported Political Behavior, with Yimeng Li. Public Opinion Quarterly. [Preprint] [Replication Materials] [Paper].
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions, with Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari and Anima Anandkumar. NeurIPS Workshop on Transfer Learning for Natural Language Processing, 2022, New Orleans. [Preprint}. Proceedings of Machine Learning Research 2003: 22-32 [abs] [PDF]
Social Media Enables People-Centric Climate Action in the Hard-to-Decarbonise Building Sector, with Ramit Debnath, Ronita Bardhan, Darshil U. Shah, Kamiar Mohaddes, Michael H. Ramage, and Benjamin K. Sovacool. Scientific Reports 12, 19017, https://doi.org/10.1038/s41598-022-23624-9. [Replication Materials].
Latinos, Group Identity, and Equal Opportunity on the 2020 California Ballot, with Jennifer Lopez and Seo-young Silvia Kim. Social Science Quarterly, https://doi.org/10.1111/ssqu.13217. [Preprint].
Voting Technology and Election Administration in the US, Oxford Bibliographies in Political Science, forthcoming.
Bayesian Analysis of State Voter Registration Database Integrity, with Seo-young Silvia Kim and Jian Cao. Statistics, Politics and Policy, https://doi.org/10.1515/spp-2021-0016. [Preprint}, [Replication Materials].
2021
Fuzzy Forests for Feature Selection in High-Dimensional Survey Data: An Application to the 2020 U.S. Presidential Election, with Sreemanti Dey. The 3rd International Conference on Applied Machine Learning and Data Analytics (AMLDA 2021). [Replication Materials], [Supplementary Materials].
The Politics of Vaccine Hesitancy in the United States, with Jian Cao and Christina Ramirez. Social Science Quarterly, https://doi.org/10.1111/ssqu.13106. [Preprint], [Replication Materials].
Reliable and Efficient Long-Term Social Media Monitoring, with Jian Cao and Nicholas Adams-Cohen. Journal of Computer and Communications, doi:10.4236/jcc.2021.910006. [Replication Materials].
How (Not) To Reproduce — Practical Considerations to Resolve the Replication Crisis in Political Science, with Simon Heuberger. PS: Political Science & Politics, https://doi.org/10.1017/S1049096521001062.
Why Do Election Results Change After Election Day? The “Blue Shift” in California Elections, with Yimeng Li and Michelle Hyun. Political Research Quarterly, https://doi.org/10.1177/10659129211033340. [Working paper], [Replication Materials.].
Dynamic Social Media Monitoring for Fast-Evolving Online Discussions, with Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, and Anima Anandkumar. In the Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 21), August 14-18, 2021, Virtual Event, Singapore. ACM, New York, NY, USA. https://dl.acm.org/doi/10.1145/3447548.3467171. [Preprint}.
Voting Experiences, Perceptions of Fraud, and Voter Confidence, with Jian Cao and Yimeng Li. Social Science Quarterly, https://doi.org/10.1111/ssqu.12940. [Preprint]. [Replication Materials].
2020
Personality Traits Are Directly Associated with Anti-Black Prejudice in the United States, with Chujun Lin. PLOS-ONE, July 1, 2020. (https://doi.org/10.1371/journal.pone.0235436).
Conventional and Unconventional Political Participation in Latin America: A Hierarchical Latent Class Approach, with Gabriel Katz, Ines Levin, and Lucas Nunez. Political Science Research Methods, 2020 (https://doi.org/10.1017/psrm.2020.35). [Preprint]. [Replication Materials].
Who Voted in 2016? Using Fuzzy Forests to Understand Voter Turnout, with Seo-young Silvia Kim and Christina Ramirez. Social Science Quarterly, 2020 (https://doi.org/10.1111/ssqu.12777). [Preprint].
Hidden Donors: The Censoring Problem in U.S. Federal Campaign Finance Data, with Seo-young Silvia Kim and Jonathan N. Katz. Election Law Journal, 2020 (https://doi.org/10.1089/elj.2019.0593). [Preprint}.
2019
Abstention, Protest, and Residual Votes in the 2016 Presidential Election, with Charles Stewart III, Stephen Pettigrew, and Cameron Wimpy. Social Science Quarterly. December 2019, (https://doi.org/10.1111/ssqu.12757). [Preprint}.
Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates, with Anqi Liu, Maya Srikanth, Nicholas Adams-Cohen and Anima Anandkumar. Thirty-third Conference on Neural Information Processing Systems, December 2019. [Preprint}.
Election Forensics: Using machine learning and synthetic data for possible election anomaly detection, with Mali Zhang and Ines Levin. PLOS ONE, October 31, 2019. (https://doi.org/10.1371/journal.pone.0223950). [Replication materials].
Using Machine Learning to Uncover Hidden Heterogeneities in Survey Data, with Christina Ramirez and Marisa A. Abrajano. Scientific Reports, November 5, 2019. (doi:10.1038/s41598-019-51862-x). [Replication materials].
Evaluating the Quality of Changes in Voter Registration Databases, with Seo-young Silvia Kim and Spencer Schneider. American Politics Research, (https://doi.org/10.1177/1532673X19870512). [Preprint}.
Computational Social Science, with Seo-young Silvia Kim. In Oxford Bibliographies in Political Science. Ed. Sandy Maisel. New York: Oxford University Press, (DOI: 10.1093/OBO/9780199756223-0285).
The Impact of Personalized Information on Vote Intention: Evidence from a Randomized Field Experiment, with Joelle Pianzola, Alexander H. Trechsel, Kristjan Vassil, and Guido Schwerdt. Journal of Politics (https://doi.org/10.1086/702946), 2019. [Replication materials].
Waiting to Vote in the 2016 Presidential Election: Evidence from a Multi-county Study, with Robert M. Stein et al. Political Research Quarterly (https://doi.org/10.1177/1065912919832374), 2019. [Replication materials].
Paying Attention to Inattentive Survey Respondents, with Lonna Rae Atkeson, Ines Levin, and Yimeng Li. Political Analysis (https://doi.org/10.1017/pan.2018.57), 2019. [Replication materials].
2018
Inferring Whether Officials Are Corruptible From Looking at Their Faces, with Chujun Lin and Ralph Adophs. Psychological Science (https://doi.org/10.1177/0956797618788882), 2018.
Answering Questions About Race: How Racial and Ethnic Identities Influence Survey Response, with Marisa Abrajano. American Politics Research (https://doi.org/10.1177/1532673X18812039), 2018.
Low-Information Voting: Evidence From Instant-Runoff Elections, with Thad E. Hall and Ines Levin. American Politics Research (https://doi.org/10.1177/1532673X18759643), 2018.
Research Replication: Practical Considerations, with Ellen M. Key and Lucas Nunez. PS: Political Science & Politics (https://doi.org/10.1017/S1049096517002566), 2018.