| The science of fake news DMJ Lazer, MA Baum, Y Benkler, AJ Berinsky, KM Greenhill, F Menczer, ... Science 359 (6380), 1094-1096, 2018 | 1750 | 2018 |
| Forecasting elections with non-representative polls W Wang, D Rothschild, S Goel, A Gelman International Journal of Forecasting 31 (3), 980-991, 2015 | 341 | 2015 |
| Forecasting elections: Comparing prediction markets, polls, and their biases D Rothschild Public Opinion Quarterly 73 (5), 895-916, 2009 | 129 | 2009 |
| Lay understanding of probability distributions. DG Goldstein, D Rothschild Judgment & Decision Making 9 (1), 2014 | 97 | 2014 |
| The mythical swing voter A Gelman, S Goel, D Rivers, D Rothschild Quarterly Journal of Political Science 11 (1), 103-130, 2016 | 85 | 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 | 81 | 2016 |
| Are public opinion polls self-fulfilling prophecies? D Rothschild, N Malhotra Research & Politics 1 (2), 2053168014547667, 2014 | 77 | 2014 |
| Forecasting elections: Voter intentions versus expectations D Rothschild, J Wolfers Available at SSRN 1884644, 2011 | 74 | 2011 |
| 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 | 72 | 2020 |
| 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 | 52 | 2018 |
| Combining forecasts for elections: Accurate, relevant, and timely D Rothschild International Journal of Forecasting 31 (3), 952-964, 2015 | 46 | 2015 |
| Don’t blame the election on fake news. Blame it on the media DJ Watts, DM Rothschild Columbia Journalism Review 5, 2017 | 38 | 2017 |
| Trading strategies and market microstructure: Evidence from a prediction market DM Rothschild, R Sethi The Journal of Prediction Markets 10 (1), 1-29, 2016 | 37 | 2016 |
| Fundamental models for forecasting elections at the state level P Hummel, D Rothschild Electoral Studies 35, 123-139, 2014 | 37* | 2014 |
| Non-representative surveys: Fast, cheap, and mostly accurate S Goel, A Obeng, D Rothschild Working Paper, 2015 | 36 | 2015 |
| 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 | 26 | 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 | 20 | 2019 |
| 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 | 13* | 2013 |
| The minority report on the fake news crisis:(spoiler alert: it’s the real news) DJ Watts, DM Rothschild AA. VV., Understanding and Addressing the Disinformation Ecosystem, 23-37, 2017 | 12 | 2017 |
| Online and social media data as a flawed continuous panel survey F Diaz, M Gamon, J Hofman, E Kiciman, D Rothschild Working Paper http://research. microsoft. com/flawedsurvey, 2014 | 12 | 2014 |
Sharad GoelAssistant Professor, Stanford UniversityVerified email at stanford.edu
