The following list contains papers that fall somewhere between submitted for academic review and published. This is not an exhaustive list of my research:

**LLMs & Human Cognition**
(Click Here For: Behavioral Finance/Economics, Political Science, Marketing, General Interest/Communications)

Circulated Working Papers
4. Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment
With Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman. Working Paper Draft: July 7, 2023.
3. Coming soon!
2. Coming soon!
1. Coming soon!

**Behavioral Finance/Economics**
(Click Here For: LLMs & Human Cognition, Political Science, Marketing, General Interest/Communications)

12. Data quality of platforms and panels for online behavioral research
With Eyal Peer, Andrew Gordon, Azk Evernden, and Ekaterina Damer
Behavior Research Methods. 2022.
11. Designing a Combinatorial Financial Options Market
With Xintong Wang, David M. Pennock, Nikhil R. Devanur, Biaoshuai Tao, and Michael P. Wellman
Economics and Computation. 2021.
10. Towards a Theory of Confidence in Market-Based Predictions
With Rupert Freeman, David M. Pennock, Daniel Reevers, and Bo Waggoner
Symposium on Imprecise Probability: Theories and Applications. 2021.
9. Log-time Prediction Markets for Interval Securities
With Miroslav Dudik, David M. Pennock, and Xintong Wang
AAMAS. 2021.
8. Understanding Market Functionality and Trading Success
With James Schmitz
PlosOne. 2019.
7. A Sharp Test of the Portability of Expertise
with Etan Green and Justin Rao
Management Science. 2019.
6. Manipulation in conditional decision markets
With Florian Teschner and Henner Gimpel
Group Decision and Negotiation. 2017. Vol. 26, No. 5, pp. 953-971.
5. Trading Strategies and Market Microstructure: Evidence from a Prediction Market
With Rajiv Sethi
Journal of Prediction Markets. 2016. Vol. 10, No. 1.
4. A comparison of forecasting methods: fundamentals, polling, prediction markets, and experts
With Deepak Pathak and Miroslav Dudik
The Journal of Prediction Markets. 2015. Vol. 9, No. 2, pp. 1-31.
3. Lay understanding of probability distributions
With Daniel G. Goldstein
Judgment and Decision Making. 2014. Vol. 9, No. 1, pp. 1–14.
2. The Extent of Price Misalignment in Prediction Markets
With David Pennock
Algorithmic Finance. 2014. Vol. 3, pp. 3-20.
1. Simplifying Market Access: a New Confidence-Based Interface
With Florian Teschner
The Journal of Prediction Markets. 2012. Vol. 6, No. 3, pp. 27-41.

Circulated Working Papers
5. A new way to think about confidence ranges Email for Paper
With Daniel G. Goldstein and Florian Teschner Working Paper
4. Parallax and Tax
With Etan Green and Haksoo Lee, Working Paper Draft: May 15, 2019
3. An Expressive and Liquid Financial Options Market via Linear Programming and
Automated Market Making
With David Pennock, Xintong Wang, Working Paper Draft:January, 2019
2. Selection bias in documenting online conversations
With Ran He. Working Paper Draft: March 20, 2016.
1. Expectations: Point-Estimates, Probability Distributions, and Forecasts
Working Paper Draft: September 20, 2012.

**Political Science**
(Click for: LLMs & Human Cognition, Behavioral Finance/Economics, Marketing, General Interest/Communications)

23. The cost of anti-Asian racism during the COVID-19 pandemic
with Justin T. Huang, Masha Krupenkin, and Julia Lee Cunningham
Nature Human Behaviour. 2023. pp 1-14.
22. Combatting gerrymandering with social choice: The design of multi-member districts
with Neil Garg, Wess Gurnee, and David Shmoys
Economics and Computation. 2022.
21. Anti-Immigrant Rhetoric and ICE Reporting Interest: Evidence from a Large-Scale Study of Web Search Data
With Masha Krupenkin and Shawndra Hill
British Journal of Political Science . 2023. Forthcoming
20. Do Partisans Make Different Investment Decisions When Their Party is in Power?
with Masha Krupenkin and Shawndra Hill
Political Behavior. 2023. pp 1-27.
19. Blocks as geographic discontinuities: The effect of polling place assignment on voting
with Sabina Tomkins, Keniel Yao, Johann Gaebler, Tobias Konitzer, Sharad Goel, Marc Meredith, Michael Morse, and Houshmand Shirani-Mehr.
Political Analysis. 2023. Vol 31, No. 2, pp 165-180.
18. One Person, One Vote: Estimating the Prevalence of Double Voting in U.S. Presidential Elections
with Sharad Goel, Marc Meredith.
American Political Science Review (APSR). 2020. Vol. 114, No. 2, pp. 456-469.
17. President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress after the 2016 Election
with Masha Krupenkin, Shawndra Hill, and Elad Yom-Tov
Sage Open. 2019. Vol. 9, No. 1.
16. Disentangling Total Error, Bias, and Variance in Election Polls
with Houshmand Shirani-Mehr, Sharad Goel, and Andrew Gelman.
Journal of the American Statistical Association (JASA). 2018. Vol. 113, No. 522, pp 607-614.
15. Using big data and algorithms to determine the effect of geographically targeted advertising on vote intention: Evidence form the 2012 US presidential election
with Tobias Konitzer, Shawndra Hill, and Kenneth Wilbur.
Political Communications. 2018. Vol. 36, No. 1, pp. 1-16.
14. Economic Expectations, Voting, and Economic Decisions around Elections
With Gur Huberman, Tobias Konitzer, Masha Krupenkin, and Shawndra Hill.
AEA Papers and Procceedings. 2018. Vol. 108, pp. 597-602.
13. High-Frequency Polling with Non-Representative Data
With Andrew Gelman, Sharad Goel, and Wei Wang.
Political Communication in Real Time. 2017.
12. Mobile as Survey Mode
With Stephanie Eckman and Tobias Konitzer.
Proceedings of the Survey Research Methods Section, ASA. 2016.
11. Online and social media data as an imperfect continuous panel survey
With Fernando Diaz, Michael Gamon, Jake Hofman, and Emre Kiciman.
PlosOne. 2016. 10.1371/journal.pone.0145406.
10. The Mythical Swing Voter
With Andrew Gelman, Sharad Goel, and Doug Rivers
Quarterly Journal of Political Science. 2016. Vol. 11, No. 1, pp 103-130.
9. Forecasting elections with non-representative polls
With Wei Wang, Andrew Gelman, and Sharad Goel
International Journal of Forecasting. 2015. Vol. 31, pp. 980-991.
8. Combining forecasts for elections: Accurate, relevant, and timely
International Journal of Forecasting. 2015. Vol. 31, pp. 952-964.
7. Xbox Polling and the Future of Election Prediction
Harvard Business Review. September 30, 2014 *Not Peer-Reviewed, but regularly cited*
6. Are Polls and Probabilities Self-Fulfilling Prophecies?
With Neil Malhotra
Research and Politics. 2014. July-September, pp. 1-10.
5. Fundamental models for forecasting elections at the state level
With Patrick Hummel
Electoral Studies. 2014. Vol. 35, pp. 123-139.
4. A Combinatorial Prediction Market for the U.S. Elections
With Miroslav Dudik, Sebastien Lahaie, and David Pennock
Economics and Computation. 2013.
3. Forecasting Elections: Voter Intentions versus Expectations
With Justin Wolfers. This Draft: January 23, 2013. *Not Peer-Reviewed, but regularly cited*
2.Debiased Aggregated Polls and Prediction Market Prices
Chance. 2010. Vol. 23, No. 3, pp. 6-7. *Not Peer-Reviewed, but regularly cited*
1. Forecasting Elections: Comparing Prediction Markets, Polls, and their Biases
Public Opinion Quarterly. 2009. Vol. 73, No. 5, pp. 895-916.

Circulated Working Papers
5. Decoupling and Contrasting Turnout and Sentiment in Electoral Change: Evidence from recent Congressional Elections Email for Paper
with Tobias Konitzer, Sharad Goel, and Houshmand Shirani-Mehr.
4. Non-Representative Surveys: Fast, Cheap, and Mostly Accurate
With Sharad Goel and Adam Obeng. This Draft: November 1, 2015.
3. Polls and Prediction Markets: forecasting presidential primaries Email for Paper
With Giorgio Ravalli
2. Strategic Polling Limits the External Validity of Early Election Polling
With Ling Dong. This Draft: August 4, 2020.
1. Non-Representative Surveys: Modes, Dynamics, Party, and Likely Voter Space
With Tobias Konitzer and Sam Corbett-Davies. This Draft: December 5, 2017.

**Marketing** 
(Click for: LLMs & Human Cognition, Behavioral Finance/Economics, Political Science, General Interest/Communications)

3. Vaccine advertising: Preach to the converted or to the unaware?
with Masha Krupenkin and Elad Yom-Tov
NPJ Digital Medicine. 2021. Vol. 4, No 1, pp 23.
2. Post Purchase Search Engine Marketing
with Quianyun Zhang and Shawndra Hill
WWW Conference. 2018.
1. Geolocated Panel to study impacts of events on Twitter
with Han Zhang and Shawndra Hill.
Journal of Data and Information Quality (JDIQ). 2018. Forthcoming.

 https://researchdmr.com/wp-admin/tools.php

**General Interest/Communications**
(Click for: LLMs & Human Cognition, Behavioral Finance/Economics, Political Science, Marketing)

12. Quantifying partisan news diets in Web and TV audiences
With Daniel Muise, Homa Hosseinmardi, Baird Howland, Markus Mobius, and Duncan Watts
Science Advances. 2022. Vol. 8, No. 28, eabn0083.
11. If a Tree Falls in the Forest: Presidential Press Conferences and Early Media Narratives about the COVID-19 Crisis
With Masha Krupenkin, Kai Zhu, and Dylan Walker
Journal of Quantitative Description. 2022. Vol 2.
10. Examining the consumption of radical content on YouTube
With Homa Hosseinmardi, Amir Ghasemaian, Aaron Clauset, Markus Mobius and Duncan Watts
PNAS. 2021. Vol. 118, No. 32.
9. Addendum to: Examining potential bias in large-scale censored data
With Jennifer Allen, Markus Mobius, and Duncan Watts
Harvard Kennedy School Misinformation Review. 2022.
8. Examining potential bias in large-scale censored data
With Jennifer Allen, Markus Mobius, and Duncan Watts
Harvard Kennedy School Misinformation Review. 2021.
7. Measuring the news and its impact on democracy
With Markus Mobius and Duncan Watts
PNAS. 2021. Vol. 118, No. 15.
6. Comparing Estimates of News Consumption from Survey and Passively collected Behavioral Data
With Jennifer Allen, Stephanie Eckman, Baird Howland, Tobias Konitzer, Markus Mobius, and Duncan Watts
Public Opinion Quarterly. 2021. Vol. 85, No S1, pp 347-870.
5. Evaluating the fake news problem at the scale of the information ecosystem
With Jennifer Allen, Baird Howland, Markus Mobius, and Duncan Watts
Science Advances. 2020. Vol. 6, No. 14, eaay3539.
4. The Science of Fake News
With David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts, and Jonathan L. Zittrain
Science. 2018. Vol. 359, No. 6380, pp. 1094-1096.
3. The minority report on the fake news crisis: (spoiler alert: it’s the real news)
With Duncan Watts
Understanding and Addressing the Disinformation Ecosystem. 2017.
2. Don’t blame the election on fake news. Blame it on the media.
with Duncan Watts
Columbia Journalism Review, December 5, 2017 *Not Peer-Reviewed, but regularly cited*
1. Rebuilding legitimacy in a post-truth age.
with Duncan Watts
Medium, January 17, 2017 *Not Peer-Reviewed, but regularly cited*

Circulated Working Papers
1. A scalable, real-time method for clustering news articles into daily events
With Markus Mobius, Duncan Watts, and Marcel Wittich. This Draft: July 17, 2019.