| The science of fake news DMJ Lazer, MA Baum, Y Benkler, AJ Berinsky, KM Greenhill, F Menczer, ... Science 359 (6380), 1094-1096, 2018 | 2785 | 2018 |
| Forecasting elections with non-representative polls W Wang, D Rothschild, S Goel, A Gelman International Journal of Forecasting 31 (3), 980-991, 2015 | 403 | 2015 |
| Evaluating the fake news problem at the scale of the information ecosystem J Allen, B Howland, M Mobius, D Rothschild, DJ Watts Science Advances 6 (14), eaay3539, 2020 | 185 | 2020 |
| Forecasting elections: Comparing prediction markets, polls, and their biases D Rothschild Public Opinion Quarterly 73 (5), 895-916, 2009 | 138 | 2009 |
| Lay understanding of probability distributions. DG Goldstein, D Rothschild Judgment & Decision Making 9 (1), 2014 | 120 | 2014 |
| The mythical swing voter A Gelman, S Goel, D Rivers, D Rothschild Quarterly Journal of Political Science 11 (1), 103-130, 2016 | 106 | 2016 |
| Online and social media data as an imperfect continuous panel survey F Diaz, M Gamon, JM Hofman, E Kıcıman, D Rothschild PloS one 11 (1), e0145406, 2016 | 104 | 2016 |
| Are public opinion polls self-fulfilling prophecies? D Rothschild, N Malhotra Research & Politics 1 (2), 2053168014547667, 2014 | 95 | 2014 |
| Forecasting elections: Voter intentions versus expectations DM Rothschild, J Wolfers Available at SSRN 1884644, 2011 | 92 | 2011 |
| Disentangling bias and variance in election polls H Shirani-Mehr, D Rothschild, S Goel, A Gelman Journal of the American Statistical Association 113 (522), 607-614, 2018 | 72 | 2018 |
| Don’t blame the election on fake news. Blame it on the media DJ Watts, DM Rothschild Columbia Journalism Review 5, 67-84, 2017 | 50 | 2017 |
| Combining forecasts for elections: Accurate, relevant, and timely D Rothschild International Journal of Forecasting 31 (3), 952-964, 2015 | 50 | 2015 |
| Fundamental models for forecasting elections at the state level P Hummel, D Rothschild Electoral Studies 35, 123-139, 2014 | 50* | 2014 |
| Non-representative surveys: Fast, cheap, and mostly accurate S Goel, A Obeng, D Rothschild Work Pap, 2015 | 44 | 2015 |
| Trading strategies and market microstructure: Evidence from a prediction market DM Rothschild, R Sethi The Journal of Prediction Markets 10 (1), 1-29, 2016 | 41 | 2016 |
| One person, one vote: Estimating the prevalence of double voting in US presidential elections S Goel, M Meredith, M Morse, D Rothschild, H Shirani-Mehr American Political Science Review 114 (2), 456-469, 2020 | 40 | 2020 |
| President Trump stress disorder: partisanship, ethnicity, and expressive reporting of mental distress after the 2016 election M Krupenkin, D Rothschild, S Hill, E Yom-Tov Sage open 9 (1), 2158244019830865, 2019 | 22 | 2019 |
| Measuring the news and its impact on democracy DJ Watts, DM Rothschild, M Mobius Proceedings of the National Academy of Sciences 118 (15), e1912443118, 2021 | 21 | 2021 |
| High-frequency polling with non-representative data A Gelman, S Goel, D Rothschild, W Wang Political communication in real time: Theoretical and applied research …, 2017 | 17 | 2017 |
| A combinatorial prediction market for the US elections M Dudík, S Lahaie, DM Pennock, D Rothschild Proceedings of the fourteenth acm conference on electronic commerce, 341-358, 2013 | 16* | 2013 |
Sharad GoelProfessor of Public Policy, Harvard UniversityVerified email at hks.harvard.edu
