Papers

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Year Title Co-Authors Venue Category Links
2025 Effects of LLM Use and Note-Taking on Reading Comprehension and Memory: A Randomised Experiment in Secondary SchoolsPia Kreijkes, Viktor Kewening, Martina Kuvalja, Mina Lee, Jake M. Hofman, et al.Computers & EducationBehavioral
2025 Economists can help ensure the AI disruption brings society to the good place: discussion for “The Coasean Singularity? Demand, Supply, and Market Design with AI Agents”NBERBehavioral
2025 Successfully Navigating the Disruption of AI on Survey ResearchTrent D. Buskirk, Stephanie Eckman, D. Sunshine Hillygus, Frauker Kreuter, David LazerThe Survey StatisticianBehavioral
2025 The Agentic EconomyMarkus Mobius, Jake M. Hofman, Eleanor W. Dillon, Daniel G. Goldstein, Nicole Immorcilca, et al.Communications of the ACMBehavioral
2025 Gun purchase interest as backlash to Black Lives Matter protestsMasha Krupenkin, Elad Yom-TovSocial ForcesPolitical Science
2025 Unpacking media bias in the growing divide between cable and network newsHoma Hosseinmardi, Sam Wolken, Duncan J. WattsScientific ReportsCommunication
2025 The Impact of Temporally Turning off TV Ad on Search: A Generalized Synthetic Control Estimator under InterferenceJia Liu, Shawndra HillJournal of MarketingMarketing
2025 Math Education With Large Language Models: Peril or Promise?Harsh Kumar, Jake M. Hofman, Daniel G. GoldsteinAIEDBehavioral
2025 Search conversion journeys and the missed opportunity of associated keywordsElad Yom-Tov, Coen NeedellFrontiersMarketing
2025 Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized ExperimentsSofia Spatharioti, Daniel G. Goldstein, Jake M. HofmanChiBehavioral
2025 Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News CoverageJenny S. Wang, Samar Haider, Amir Tohidi, Anushka Gupta, Yuxuan Zhang, et al.ChiCommunication
2025 Identity isn't everything -- how far do demographics take us towards self-identified party ID?Sabina Tomkins, Alex Liu, Alexander ThompsonarXivPolitical Science
2024 Designing Expressive and Liquid Financial Options Markets via Linear Programming and Automated Market MakingXintong Wang, David M. Pennock, Nikhil DevanurICAIF2024Behavioral
2024 Prevalence and prevention of large language model use in crowd workVeniamin Veselovsky, Manoel Ribeiro, Phillip Cozzolino, Andrew Gordon, Robert WestCommunications of the ACMBehavioral
2024 Framing in the Presence of Supporting Data: A Case Study in U.S. Economic NewsAlexandria Leto, Elliot Pickens, Coen D. Needell, Maria Leonor PachecoACL-2024Communication
2024 Misunderstanding the harms of online misinformationCeren Budak, Brendan Nyhan, Emily Thorson, Duncan J. WattsNatureCommunication
2024 Do Partisans Make Different Investment Decisions When Their Party is in Power?Masha Krupenkin, Shawndra HillPolitical BehaviorPolitical Science
2024 Anti-Immigrant Rhetoric and ICE Reporting Behavior: Evidence from a Large-Scale Study of Web Search DataMasha Krupenkin, Shawndra HillBritish Journal of Political SciencePolitical Science
2023 The cost of anti-Asian racism during the COVID-19 pandemicJustin Huang, Masha Krupenkin, Julia Lee CunninghamNature Human BehaviorPolitical Science
2023 Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to ProductivityAlexia Cambon, Brent Hecht, Bejamin Edelman, Donald Ngwe, Sonia Jaffe, et al.Microsoft White PaperBehavioral
2023 A Sports Analogy for Understanding Different Ways to Use AIJake M. Hofman, Daniel G. GoldsteinHarvard Business ReviewBehavioral
2023 Warped Front PagesElliot Pickens, Gideon Heltzer, Jenny Wang, Duncan J. WattsColumbia Journalism ReviewCommunication
2022 Quantifying partisan news diets in Web and TV audiencesDaniel Muise, Homa Hosseinmardi, Baird Howland, Markus Mobius, Duncan J. WattsScience AdvancesCommunication
2022 If a Tree Falls in the Forest: COVID-19, Media Choices, and Presidential Agenda SettingMasha Krupenkin, Kai Zhu, Dylan WalkerJournal of Quantitative DescriptionCommunication
2022 Addendum to: Examining potential bias in large-scale censored dataJennifer Allen, Markus Mobius, Duncan J. WattsHarvard Kennedy School Misinformation ReviewCommunication
2022 Blocks as geographic discontinuities: The effect of polling place assignment on votingSabina Tomkins, Keniel Yao, Johann Gaebler, Tobias Konitzer, Marc Meredith, Sharad GoelPolitical AnaylisisPolitical Science
2022 Combatting Gerrymandering with Social Choice: the Design of Multi-member DistrictsNikhil Garg, Wes Gurnee, David ShmoysEconomics and Computation (EC)Political Science
2021 Data quality of platforms and panels for online behavioral researchEyal Peer, Andrew Gordon, Zak Evernden, Ekaterina DamerBehavior Research MethodsBehavioral
2021 Log-time Prediction Markets for Interval SecuritiesMiroslav Dudík, Xintong Wang, David M. PennockAAMASBehavioral
2021 Towards a Theory of Confidence in Market-Based PredictionsRupert Freeman, David M. Pennock, Daniel M. Reeves, Bo WaggonerISIPTABehavioral
2021 Designing a Combinatorial Financial Options MarketXintong Wang, David M. Pennock, Nikhil Devanur, Biaoshuai Tao, Michael WellmanEconomics and Computation (EC)Behavioral
2021 Vaccine advertising: preach to the converted or to the unaware?Masha Krupenkin, Elad Yom-TovNature Digital MedicineMarketing
2021 Examining the consumption of radical content on YouTubeHoma Hosseinmardi, Amir Ghasemian, Aaron Clauset, Markus Mobius, Duncan J. WattsProceedings of the National Academy of Science (PNAS)Communication
2021 Examining Potential Bias in Large-scale Censored DataJennifer Allen, Markus Mobius, Duncan J. WattsHarvard Kennedy School Misinformation ReviewCommunication
2021 Measuring the news and its impact on democracyDuncan J. Watts, Markus MobiusProceedings of the National Academy of Science (PNAS)Communication
2021 Comparing Estimates of News Consumption from Survey and Passively collected Behavioral DataTobias Konitzer, Jennifer Allen, Stephanie Eckman, Baird Howland, Markus Mobius, Duncan J. WattsPublic Opinion Quarterly (POQ)Communication
2020 Evaluating the fake news problem at the scale of the information ecosystemJennifer Allen, Baird Howland, Markus Mobius, Duncan J. WattsScience AdvancesCommunication
2020 One Person, One Vote: Estimating the Prevalence of Double Voting in U.S. Presidential ElectionsSharad Goel, Marc Meredith, Michael Morse, Houshmand Shirani-MehrAmerican Political Science Review (APSR)Political Science
2020 External Validity of Differences in Hypothetical Horse-Race PollingLing DongN/APolitical Science
2019 A Sharp Test of the Portability of ExpertiseEtan Green, Justin RaoManagement ScienceBehavioral
2019 Understanding market functionality and trading successJames SchmitzPlosOneBehavioral
2019 President Trump stress disorder: partisanship, ethnicity, and expressive reporting of mental distress after the 2016 electionMasha Krupenkin, Shawndra Hill, Elad Yom-TovSage OpenPolitical Science
2019 Parallax and TaxEtan Green, Haksoo LeeThe Review of Economic Studies (Restud) R&RBehavioral
2019 Unique news over timeLing DongN/ACommunication
2018 Using Big Data and Algorithms to Determine the Effect of Geographically Targeted Advertising on Vote Intention: Evidence From the 2012 U.S. Presidential ElectionTobias Konitzer, Shawndra Hill, Kenneth WilburPolitical CommunicationsPolitical Science
2018 Addressing Selection Bias in Event Studies with General-Purpose Social Media PanelsHan Zhang, Shawndra HillJournal of Data and Information QualityMarketing
2018 Post Purchase Search Engine MarketingQianyun Zhang, Shawndra HillThe Web Conference 2018 (WWW)Marketing
2018 The Science of Fake NewsDavid Lazer, Matthew Baum, Yochai Benkler, Adam Bernisky, Kelly Greenhilll, et al.ScienceCommunication
2018 Economic Expectations, Voting, and Economic Decisions around ElectionsGuy Huberman, Tobias Konitzer, Masha Krupenkin, Shawndra HillAEA ProceedingsPolitical Science
2018 Disentangling bias and variance in election pollsHoushmand Shirani-Mehr, Sharad Goel, Andrew GelmanJournal of the American Statistical Association (JASA)Political Science
2018 Decoupling and contrasting turnout and sentiment in electoral change: Evidence from recent congressional electionsTobias Konitzer, Sharad Goel, Houshmand Shirani-MehrN/APolitical Science
2018 Towards an automated clustering for online news events: A method proposal and data set for further developmentMarcel WittichN/ACommunication
2017 Manipulation in Conditional Decision MarketsFlorian Teschner, Henner GimpelGroup Decision and NegotiationBehavioral
2017 The minority report on the fake news crisis: (spoiler alert: it’s the real news)Duncan J. WattsUnderstanding and Addressing the Disinformation EcosystemCommunication
2017 Don’t blame the election on fake news. Blame it on the mediaDuncan J. WattsColumbia Journalism ReviewCommunication
2017 Rebuilding legitimacy in a post-truth ageDuncan J. WattsMediumCommunication
2017 Non-Representative Surveys: Modes, Dynamics, Party, and Likely Voter SpaceSam Corbett-Davies, Tobias KonitzerN/APolitical Science
2017 Issues ConstraintTobias Konitzer, Sharad Goel, Sam Corbett-DaviesN/APolitical Science
2017 Do Campaign Ads Matter? Limitations of Advertisements in a Negative News ContextMasha Krupenkin, Shawndra HillN/APolitical Science
2017 The Interaction of Prediction Markets and PollsGiorgio RavalliN/APolitical Science
2016 High-Frequency Polling with Non-Representative DataAndrew Gelman, Sharad Goel, Wei WangBook ChapterPolitical Science
2016 Trading strategies and market microstructure: evidence from a prediction marketRajiv SethiJournal of Prediction MarketsBehavioral
2016 The Mythical Swing VoterAndrew Gelman, Sharad Goel, Doug RiversQuarterly Journal of Political SciencePolitical Science
2016 Online and Social Media Data As an Imperfect Continuous Panel SurveyFernando Diaz, Michael Gamon, Jake M. Hofman, Emre KicimanPlosOnePolitical Science
2016 Mobile as Survey ModeTobias Konitzer, Stephie EckmanProceedings of the Survey Research Methods Section, ASAPolitical Science
2016 Why Political Polling is not Dead – a Plea for Non-Probability Polling, Algorithms, and Big DataTobias KonitzerSemantic ScholarPolitical Science
2016 Selection bias in documenting online conversationsRan HeN/ABehavioral
2015 A comparison of forecasting methods: fundamentals, polling, prediction markets, and expertsDeepak Pathak, Miroslav DudikJournal of Prediction MarketsBehavioral
2015 Combining forecasts for elections: Accurate, relevant, and timelyInternational Journal of ForecastingPolitical Science
2015 Forecasting elections with non-representative pollsWei Wang, Sharad Goel, GelmanInternational Journal of ForecastingPolitical Science
2015 Non-Representative Surveys: Fast, Cheap, and Mostly AccurateSharad Goel, Adam ObengPlosOne R&RPolitical Science
2014 The extent of price misalignment in prediction marketsDavid M. PennockAlgorithmic FinanceBehavioral
2014 Lay understanding of probability distributionsDaniel G. GoldsteinJudgment and Decision MakingBehavioral
2014 Fundamental models for forecasting elections at the state levelPatrick HummelElectoral StudiesPolitical Science
2014 Are public opinion polls self-fulfilling prophecies?Neil MalhotraResearch and PoliticsPolitical Science
2014 Xbox Polling and the Future of Election PredictionHarvard Business ReviewPolitical Science
2013 A combinatorial prediction market for the US electionsMiroslav Dudik, Sebastien Lahaie, David M. PennockEconomics and Computation (EC)Political Science
2013 Simplifying Market Access: A new confidence-based interfaceFlorian TeschnerJournal of Prediction MarketsBehavioral
2011 Forecasting Elections: Voter Intentions versus ExpectationsJustin WolfersNBERPolitical Science
2011 Expectations: Point-Estimates, Probability Distributions, and Forecasts-AMMA 2011Behavioral
2010 Debiased Aggregated Polls and Prediction Market PricesChancePolitical Science
2010 A new way to think about confidence rangesFlorian Teschner, Daniel G. GoldsteinN/ABehavioral
2009 Forecasting Elections: Comparing Prediction Markets, Polls, and their BiasesPublic Opinion Quarterly (POQ)Political Science
2008 Market Manipulation Muddies Election OutlookJustin WolfersWall Street JournalBehavioral