Research Projects
Some of my latest work on frontier of American Politics and Political Methodology.
Research Interests
American Politics, Political Methodology, Electoral Politics, Party Politics, Election Forecasting, Congress, Natural Language Processing, Latent Variable Models, Scalable Tensor Methods, Machine Learning, Causal Inference, Congressional Elections, Bayesian Statistics, Text-as-data methods, Climate Politics
Peer-Reviewed Articles
Analyzing Political Text at Scale with Online Tensor LDA. Conditionally Accepted at Political Analysis. (with Sara Kangaslahti, Jean Kossaifi, R. Michael Alvarez, Anima Anandkumar)
Legislative Communication and Power: Measuring Leadership from Social Media Data. Forthcoming at European Political Science Review. (with Hao Yan, R. Michael Alvarez, Sanmay Das, Betsy Sinclair) DOI: 10.1017/S1755773924000146
Climate change free riders: Identifying free riding among Americans, motivating more collective sustainable behavior. Scientific Reports, 2024. (with Beatrice Magistro, Cecilia Abramson, Ramit Debnath, R. Michael Alvarez) DOI: 10.1038/s41598-024-57042-w
Persuadable voters decided the 2022 midterm: Abortion rights and issues-based frameworks for elections. PLOS-ONE, 2023. (with Claudia Kann, Jacob Morrier, R. Michael Alvarez) DOI: 10.1371/journal.pone.0294047
Why don't Americans trust university researchers and why it matters for climate change. PLOS-Climate, 2023. (with R. Michael Alvarez, Ramit Debnath) DOI: 10.1371/journal.pclm.0000147
Do fossil fuel firms reframe online climate and sustainability communication? A data-driven analysis. npj Climate Action, 2023. (with Ramit Debnath, Kamiar Mohaddes, Thomas Roulet, R. Michael Alvarez) DOI: 10.1038/s44168-023-00086-x
Working Papers
Topic Models are Statistically Inconsistent, More Biased with More Data, and Substantively Misleading: Evidence, Solutions, and Applications Working Paper. (with Sara Kangslanthi) Paper
How American Politics Ensures Electoral Accountability in Congress. Working Paper. (with Jonathan N. Katz, Gary King) Paper
If a Statistical Model Predicts That Common Events Should Occur Only Once in 10,000 Elections, Maybe it’s the Wrong Model. Working Paper. (with Jonathan N. Katz, Gary King) Paper
Improving Joint Sentiment-Topic Modeling for Studying Political Text: A Tensor Decomposition Approach. Working Paper. (with R.Michael Alvarez, Nick Adams-Cohen)
Ideological Feature Extraction. Working Paper. (with R.Michael Alvarez, Betsy Sinclair, Joon Park, Bojan Tonguz)
Eroding Trust in Democracy: How Social Media Attacks on Election Officials in 2020 Undermined American Election Institutions. Under Review. (with Sarah Hashah, Sreemanti Dey, R. Michael Alvarez)
Pre-Registered Studies
How Partisan Mediation Biases Trust in Scientists: Conjoint Evidence and Implications for Climate Change. Working Paper. (with Ramit Debnath, R. Michael Alvarez) DOI: osf.io/8ufdv
Calibration of Polarized Trust in Scientists. Working Paper. (with Ramit Debnath, R. Michael Alvarez) DOI: 10.17605/OSF.IO/WF2SX
Other Research Articles
Fedwire Funds Service: Payments, Balances, and Available Liquidity Finance and Economics Discussion Series. 2021. (Anton Badev, Lauren Clark, Jeffrey Marquardt, David Mills) DOI: 10.17016/FEDS.2021.070
The Network of Large-Value Loans in the U.S. Working Paper. (with Anton Badev)