David Rothschild
David Rothschild
Microsoft Research
Verified email at - Homepage
Cited by
Cited by
The science of fake news
DMJ Lazer, MA Baum, Y Benkler, AJ Berinsky, KM Greenhill, F Menczer, ...
Science 359 (6380), 1094-1096, 2018
Forecasting elections with non-representative polls
W Wang, D Rothschild, S Goel, A Gelman
International Journal of Forecasting 31 (3), 980-991, 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
Forecasting elections: Comparing prediction markets, polls, and their biases
D Rothschild
Public Opinion Quarterly 73 (5), 895-916, 2009
Lay understanding of probability distributions.
DG Goldstein, D Rothschild
Judgment & Decision Making 9 (1), 2014
The mythical swing voter
A Gelman, S Goel, D Rivers, D Rothschild
Quarterly Journal of Political Science 11 (1), 103-130, 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
Are public opinion polls self-fulfilling prophecies?
D Rothschild, N Malhotra
Research & Politics 1 (2), 2053168014547667, 2014
Forecasting elections: Voter intentions versus expectations
DM Rothschild, J Wolfers
Available at SSRN 1884644, 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
Don’t blame the election on fake news. Blame it on the media
DJ Watts, DM Rothschild
Columbia Journalism Review 5, 67-84, 2017
Combining forecasts for elections: Accurate, relevant, and timely
D Rothschild
International Journal of Forecasting 31 (3), 952-964, 2015
Fundamental models for forecasting elections at the state level
P Hummel, D Rothschild
Electoral Studies 35, 123-139, 2014
Non-representative surveys: Fast, cheap, and mostly accurate
S Goel, A Obeng, D Rothschild
Work Pap, 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
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
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
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
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
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
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