Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage - With Jenny S. Wang, Samar Haider, Amir Tohidi, Annushka Gupta, Yuxuan Zhang, et al.. Chi. 2025. Peer Reviewed Publication
Academic Publications
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Communication
Misunderstanding the harms of online misinformation - With Ceren Budak, Brendan Nyhan, Emily Thorson, Duncan J. Watts. Nature. 2024. Peer Reviewed Publication
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News - With Alexandria Leto, Elliot Pickens, Coen D. Needell, Maria Leonor Pacheco. ACL-2024. 2024. Peer Reviewed Publication
Warped Front Pages - With Elliot Pickens, Gideon Heltzer, Jenny Wang, Duncan J. Watts. Columbia Journalism Review. 2023. non-Peer Reviewed
Quantifying partisan news diets in Web and TV audiences - With Daniel Muise, Homa Hosseinmardi, Baird Howland, Markus Mobius, Duncan J. Watts. Science Advances. 2022. Peer Reviewed Publication
If a Tree Falls in the Forest: COVID-19, Media Choices, and Presidential Agenda Setting - With Masha Krupenkin, Kai Zhu, Dylan Walker. Journal of Quantitative Description. 2022. Peer Reviewed Publication
Addendum to: Examining potential bias in large-scale censored data - With Jennifer Allen, Markus Mobius, Duncan J. Watts. Harvard Kennedy School Misinformation Review. 2022. Peer Reviewed Publication
Measuring the news and its impact on democracy - With Duncan J. Watts, Markus Mobius. Proceedings of the National Academy of Science (PNAS). 2021. Peer Reviewed Publication
Examining the consumption of radical content on YouTube - With Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset, Markus Mobius, Duncan J. Watts. Proceedings of the National Academy of Science (PNAS). 2021. Peer Reviewed Publication
Examining Potential Bias in Large-scale Censored Data - With Jennifer Allen, Markus Mobius, Duncan J. Watts. Harvard Kennedy School Misinformation Review. 2021. Peer Reviewed Publication
Comparing Estimates of News Consumption from Survey and Passively collected Behavioral Data - With Tobias Konitzer, Jennifer Allen, Stephanie Eckman, Baird Howland, Markus Mobius, Duncan J. Watts. Public Opinion Quarterly (POQ). 2021. Peer Reviewed Publication
Evaluating the fake news problem at the scale of the information ecosystem - With Jennifer Allen, Baird Howland, Markus Mobius, Duncan J. Watts. Science Advances. 2020. Peer Reviewed Publication
Unique news over time - With Ling Dong. . 2019. Filed
Towards an automated clustering for online news events: A method proposal and data set for further development - With Marcel Wittich. . 2018. Filed
The Science of Fake News - With David Lazer, Matthew Baum, Yochai Benkler, Adam Bernisky, Kelly Greenhilll, et al.. Science. 2018. Peer Reviewed Publication
The minority report on the fake news crisis: (spoiler alert: its the real news) - With Duncan J. Watts. Understanding and Addressing the Disinformation Ecosystem. 2017. non-Peer Reviewed
Rebuilding legitimacy in a post-truth age - With Duncan J. Watts. Medium. 2017. non-Peer Reviewed
Dont blame the election on fake news. Blame it on the media - With Duncan J. Watts. Columbia Journalism Review. 2017. non-Peer Reviewed
Behavioral
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiments - With Sofia Spatharioti, Daniel G. Goldstein, Jake M. Hofman. Chi. 2025. Peer Reviewed Publication
Prevalence and prevention of large language model use in crowd work - With Veniamin Veselovsky, Manoel Ribeiro, Phillip Cozzolino, Andrew Gordon, Robert West. Communications of the ACM. 2024. Peer Reviewed Publication
Designing Expressive and Liquid Financial Options Markets via Linear Programming and Automated Market Making - With Xintong Wang, David M. Pennock, Nikhil Devanur. ICAIF2024. 2024. Peer Reviewed Publication
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity - With Alexia Cambon, Brent Hecht, Bejamin Edelman, Donald Ngwe, Sonia Jaffe, et al.. Microsoft White Paper. 2023. non-Peer Reviewed
A Sports Analogy for Understanding Different Ways to Use AI - With Jake M. Hofman, Daniel G. Goldstein. Harvard Business Review. 2023. non-Peer Reviewed
Towards a Theory of Confidence in Market-Based Predictions - With Rupert Freeman, David M. Pennock, Daniel M. Reeves, Bo Waggoner. ISIPTA. 2021. Peer Reviewed Publication
Log-time Prediction Markets for Interval Securities - With Miroslav Dudk, Xintong Wang, David M. Pennock. AAMAS. 2021. Peer Reviewed Publication
Designing a Combinatorial Financial Options Market - With Xintong Wang, David M. Pennock, Nikhil Devanur, Biaoshuai Tao, Michael Wellman. Economics and Computation (EC). 2021. Peer Reviewed Publication
Data quality of platforms and panels for online behavioral research - With Eyal Peer, Andrew Gordon, Zak Evernden, Ekaterina Damer. Behavior Research Methods. 2021. Peer Reviewed Publication
Understanding market functionality and trading success - With James Schmitz. PlosOne. 2019. Peer Reviewed Publication
Parallax and Tax - With Etan Green, Haksoo Lee. The Review of Economic Studies (Restud) R&R. 2019. non-Peer Reviewed
A Sharp Test of the Portability of Expertise - With Etan Green, Justin Rao. Management Science. 2019. Peer Reviewed Publication
Manipulation in Conditional Decision Markets - With Florian Teschner, Henner Gimpel . Group Decision and Negotiation. 2017. Peer Reviewed Publication
Trading strategies and market microstructure: evidence from a prediction market - With Rajiv Sethi. Journal of Prediction Markets. 2016. Peer Reviewed Publication
Selection bias in documenting online conversations - With Ran He. . 2016. Filed
A comparison of forecasting methods: fundamentals, polling, prediction markets, and experts - With Deepak Pathak, Miroslav Dudik. Journal of Prediction Markets. 2015. Peer Reviewed Publication
The extent of price misalignment in prediction markets - With David M. Pennock. Algorithmic Finance. 2014. Peer Reviewed Publication
Lay understanding of probability distributions - With Daniel G. Goldstein. Judgment and Decision Making. 2014. Peer Reviewed Publication
Simplifying Market Access: A new confidence-based interface - With Florian Teschner. Journal of Prediction Markets. 2013. Peer Reviewed Publication
Expectations: Point-Estimates, Probability Distributions, and Forecasts - With -. AMMA 2011. 2011. non-Peer Reviewed
A new way to think about confidence ranges - With Florian Teschner, Daniel G. Goldstein. . 2010. Filed
Market Manipulation Muddies Election Outlook - With Justin Wolfers. Wall Street Journal. 2008. non-Peer Reviewed
Political Science
Do Partisans Make Different Investment Decisions When Their Party is in Power? - With Masha Krupenkin, Shawndra Hill. Political Behavior. 2024. Peer Reviewed Publication
Anti-Immigrant Rhetoric and ICE Reporting Behavior: Evidence from a Large-Scale Study of Web Search Data - With Masha Krupenkin, Shawndra Hill. British Journal of Political Science. 2024. Peer Reviewed Publication
The cost of anti-Asian racism during the COVID-19 pandemic - With Justin Huang, Masha Krupenkin, Julia Lee Cunningham. Nature Human Behavior. 2023. Peer Reviewed Publication
Combatting Gerrymandering with Social Choice: the Design of Multi-member Districts - With Nikhil Garg, Wes Gurnee, David Shmoys. Economics and Computation (EC). 2022. Peer Reviewed Publication
Blocks as geographic discontinuities: The effect of polling place assignment on voting - With Sabina Tomkins, Keniel Yao, Johann Gaebler, Tobias Konitzer, Marc Meredith, Sharad Goel. Political Anaylisis. 2022. Peer Reviewed Publication
One Person, One Vote: Estimating the Prevalence of Double Voting in U.S. Presidential Elections - With Sharad Goel, Marc Meredith, Michael Morse, Houshmand Shirani-Mehr. American Political Science Review (APSR). 2020. Peer Reviewed Publication
External Validity of Differences in Hypothetical Horse-Race Polling - With Ling Dong. . 2020. Filed
President Trump stress disorder: partisanship, ethnicity, and expressive reporting of mental distress after the 2016 election - With Masha Krupenkin, Shawndra Hill, Elad Yom-Tov. Sage Open. 2019. Peer Reviewed Publication
Using Big Data and Algorithms to Determine the Effect of Geographically Targeted Advertising on Vote Intention: Evidence From the 2012 U.S. Presidential Election - With Tobias Konitzer, Shawndra Hill, Kenneth Wilbur. Political Communications. 2018. Peer Reviewed Publication
Economic Expectations, Voting, and Economic Decisions around Elections - With Guy Huberman, Tobias Konitzer, Masha Krupenkin, Shawndra Hill. AEA Proceedings. 2018. Peer Reviewed Publication
Disentangling bias and variance in election polls - With Houshmand Shirani-Mehr, Sharad Goel, Andrew Gelman. Journal of the American Statistical Association (JASA). 2018. Peer Reviewed Publication
Decoupling and contrasting turnout and sentiment in electoral change: Evidence from recent congressional elections - With Tobias Konitzer, Sharad Goel, Houshmand Shirani-Mehr. . 2018. non-Peer Reviewed
The Interaction of Prediction Markets and Polls - With Giorgio Ravalli. . 2017. Filed
Non-Representative Surveys: Modes, Dynamics, Party, and Likely Voter Space - With Sam Corbett-Davies, Tobias Konitzer. . 2017. non-Peer Reviewed
Issues Constraint - With Tobias Konitzer, Sharad Goel, Sam Corbett-Davies. . 2017. Filed
Do Campaign Ads Matter? Limitations of Advertisements in a Negative News Context - With Masha Krupenkin, Shawndra Hill. . 2017. Filed
Why Political Polling is not Dead a Plea for Non-Probability Polling, Algorithms, and Big Data - With Tobias Konitzer. Semantic Scholar. 2016. non-Peer Reviewed
The Mythical Swing Voter - With Andrew Gelman, Sharad Goel, Doug Rivers. Quarterly Journal of Political Science. 2016. Peer Reviewed Publication
Online and Social Media Data As an Imperfect Continuous Panel Survey - With Fernando Diaz, Michael Gamon, Jake M. Hofman, Emre Kiciman. PlosOne. 2016. Peer Reviewed Publication
Mobile as Survey Mode - With Tobias Konitzer, Stephie Eckman. Proceedings of the Survey Research Methods Section, ASA. 2016. Peer Reviewed Publication
High-Frequency Polling with Non-Representative Data - With Andrew Gelman, Sharad Goel, Wei Wang. Book Chapter. 2016. Peer Reviewed Publication
Non-Representative Surveys: Fast, Cheap, and Mostly Accurate - With Sharad Goel, Adam Obeng. PlosOne R&R. 2015. non-Peer Reviewed
Forecasting elections with non-representative polls - With Wei Wang, Sharad Goel, Gelman. International Journal of Forecasting. 2015. Peer Reviewed Publication
Combining forecasts for elections: Accurate, relevant, and timely - International Journal of Forecasting. 2015. Peer Reviewed Publication
Xbox Polling and the Future of Election Prediction - Harvard Business Review. 2014. non-Peer Reviewed
Fundamental models for forecasting elections at the state level - With Patrick Hummel. Electoral Studies. 2014. Peer Reviewed Publication
Are public opinion polls self-fulfilling prophecies? - With Neil Malhotra. Research and Politics. 2014. Peer Reviewed Publication
A combinatorial prediction market for the US elections - With Miroslav Dudik, Sebastien Lahaie, David M. Pennock. Economics and Computation (EC). 2013. Peer Reviewed Publication
Forecasting Elections: Voter Intentions versus Expectations - With Justin Wolfers. NBER. 2011. non-Peer Reviewed
Debiased Aggregated Polls and Prediction Market Prices - Chance. 2010. non-Peer Reviewed
Forecasting Elections: Comparing Prediction Markets, Polls, and their Biases - Public Opinion Quarterly (POQ). 2009. Peer Reviewed Publication
Marketing
Vaccine advertising: preach to the converted or to the unaware? - With Masha Krupenkin, Elad Yom-Tov. Nature Digital Medicine. 2021. Peer Reviewed Publication
Post Purchase Search Engine Marketing - With Qianyun Zhang, Shawndra Hill. The Web Conference 2018 (WWW). 2018. Peer Reviewed Publication
Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels - With Han Zhang, Shawndra Hill. Journal of Data and Information Quality. 2018. Peer Reviewed Publication