Publications

Journal Papers

• 1. Interdependent Sampling and Social Influence (with Jerker Denrell), Psychological Review, April 2007, 114(2): 398-422. DOI: 10.1037/0033-295X.114.2.398. [PDF] 

  2. How Adoption Speed Affects the Abandonment of Cultural Tastes (with Jonah Berger). Proceedings of the National Academy of Sciences of the United States (PNAS),  May 2009, 106:8146-8150. DOI:10.1073/pnas.0812647106. [PDF] 

  3. Key Considerations in Studying Cultural Abandonment Using Baby Names (with Jonah Berger), Proceedings of the National Academy of Sciences of the United States (PNAS), September 29th, 2009, 106:E110. DOI: 10.1073/pnas.0909403106. [PDF] 

  4. Organizational Evolution with Fuzzy Technological Boundaries: Tape Drive Producers in the World Market, 1951-1998 (with Glenn R. Carroll, Mi Feng and David G. McKendrick), Research in the Sociology of Organizations, 2010, 31:203-233. DOI: 10.1108/S0733-558X(2010)0000031009. [Request paper] 

  5. Rational Learning and Information Sampling: On the ‘Naivety’ Assumption in Sampling Explanations of Judgment Biases (with Jerker Denrell). Psychological Review , April 2011, 118(2), 379-392. DOI:10.1037/a0023010. Supplemental Material DOI: 10.1037/a0023010.supp [PDF] 

  6. Seeking Positive Experiences Can Produce Illusory Correlations (with Jerker Denrell), Cognition, 2011, 119(3), 313-324. DOI: 10.1016/j.cognition.2011.01.007. [PDF] 

  7. Founding Conditions, Learning, and Organizational Life Chances: Age Dependence Revisited (with Michael T. Hannan and László Pólos). Administrative Science Quarterly, March 2011, 56: 95-126. DOI: 10.2189/asqu.2011.56.1.095. [PDF] 

  8. Keeping conceptual boundaries distinct between decision making and learning is necessary to understand social influence, Behavioral and Brain Sciences, March 2014, 37(01), 87–88, DOI: 10.1017/S0140525X13001775. [Request paper] 

  9. Organizational Obsolescence, Drifting Tastes, and Age-Dependence in Organizational Life Chances (with Michael T. Hannan and László Pólos). Organization Science, March-April 2015, 26(2):550-570. DOI:10.1287/orsc.2014.0910. [PDF] 

  10. Age-Related Structural Inertia: A Distance-Based Approach (with Michael T. Hannan and László Pólos), Organization Science, May-June 2015, 26(3), 756-773. DOI: 10.1287/orsc.2015.0966. [PDF] 

  11. The Evaluative Advantage of Novel Alternatives: An Information Sampling Account, (with Yaakov Kareev and Judith Avrahami), Psychological Science, 2016, 27(2): 161–168. DOI: 10.1177/0956797615615581. [PDF] [Open Data] 

  12. Information Sampling, Belief Synchronization and Collective Illusions (with Jerker Denrell), Management Science, March 2017, 63(2), 528-547. DOI: 10.1287/mnsc.2015.2354. [PDF] 

  13. When More Selection is Worse (with Jerker Denrell & Chengwei Liu), Strategy Science, March 2017, 2(1), 39-63. DOI: 10.1287/stsc.2017.0025. [PDF] 

  14. Feature Inference with Uncertain Categorization: Re-assessing Anderson’s Rational Model (with Elizaveta Konovalova), Psychonomic Bulletin and Review, October 2018, 25(5), 1666-1681. DOI: 10.3758/s13423-017-1372-y. [Pre-Print PDF] [Published PDF] [Open Data] [Blog post on the Psychonomic Society Website] 

  15. How endogenous crowd formation undermines the wisdom-of-the-crowd in online ratings (with Balázs Kovács, Judith Avrahami, & Yaakov Kareev), Psychological Science, 2018, 29(9), 1475-1490. DOI: 10.1177/0956797618775080.  [pre-print PDF] [Publisher's web] [Open Data] 

  16. Information Sampling, Judgment and the Environment: Application to the Effect of Popularity on Evaluations (with Jerker Denrell, Balázs Kovács, & Hülya Karaman),  Topics in Cognitive Science,  2019, 11(2), 358-373. DOI: 10.1111/tops.12387. [PDF] 

  17. An Information Sampling Explanation for the In-Group Heterogeneity Effect (with Elizaveta Konovalova), Psychological Review, 2020, 127(1), 47–73. DOI: 10.1037/rev0000160. [pre-print PDF and open data] 

  18. Revisiting the Competency Trap, (with Jerker Denrell), Industrial and Corporate Change, 2020, 29(1), 183-205. DOI: 10.1093/icc/dtz072. [pre-print PDF] 

  19. Evaluating Categories from Experience: The Simple Averaging Heuristic (with Thomas Woiczyk), Journal of Personality and Social Psychology, 2021, 121(4), 747–773. DOI: 10.1037/pspa0000231. [pre-print PDF and open data]

  20. Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality? (with Balázs Kovács,  Michael Hannan, & Guillem Pros).  Sociological Science, 2023. DOI: 10.15195/v10.a3  [Open-access PDF][ Publicly available and free-to-use Python Notebooks to compute typicality using Google Colab, and open data].

  21. How politicians learn from citizens’ feedback: The case of gender on Twitter (with Nikolas Schöll and Aina Gallego).  American Journal of Political Science, 2024, 68 (2), 557–574. DOI:10.1111/ajps.12772 [Open Access PDF] [open data, replication code, and python scripts to download twitter data]

  22. Social Media Feedback and Extreme Opinion Expression (with Elizaveta Konovalova and  Nikolas Schöll). PLOS One, 2023. DOI: 10.1371/journal.pone.0293805 [Open Access PDF][Supplementary Material][Open Data and Scripts]

  23. Uncovering the Semantics of Concepts Using GPT-4 (with Balázs Kovács,  Michael Hannan, & Guillem Pros).  Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023. DOI: 10.1073/pnas.2309350120. [Open Access PDF] [Open Data and Scripts]

  24. Frequent winners explain apparent skewness preferences in experience-based decisions (with Sebastian Olschewski and Mikhail Spektor). Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2024, 121(12). DOI: 10.1073/pnas.2317751121. [Supplementary Material][Open Data and Scripts]

  25. Positioning Political Texts with Large Language Models by Asking and Averaging (with Aina Gallego). Political Analysis, 2025, 33(3), 274-282. DOI: 10.1017/pan.2024.29  [Open Access PDF][Open Data and Scripts] [Working Paper versions]. Earlier titles: “Scaling Political Texts with ChatGPT” and “Scaling Political Texts with Large Language Models: Asking a Chatbot Might Be All You Need”.

  26. Reply to Vanunu et al: The frequent-winner effect is necessary to explain experience-based decisions (with Sebastian Olschewski and Mikhail Spektor). Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2025, 122(15). DOI: 10.1073/pnas.2500422122.

  27. The Common Behavior Effect in Norm Learning: When Frequent Observations Override the Behavior of the Majority  (with Thomas Woiczyk and Rahil Hosseini). Organizational Behavior and Human Decision Processes, 2025. DOI: 10.1016/j.obhdp.2025.104441 (Open access) [Supplementary Material][Open Data and Scripts]

Conference Proceedings

• 1. Illusory Correlation as the Outcome of Experience Sampling (with Jerker Denrell), in B. C. Love, K. McRae, V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 421-426), August 2008. Austin, TX: Cognitive Science Society. [PDF] 

  2. Information Sampling, Conformity and Collective Mistaken Beliefs (with Jerker Denrell), in M. Knauff, M. Pauen, N. Sebanz, I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2177-2182), August 2013. Austin, TX: Cognitive Science Society. [PDF] 

  3. Predictions with Uncertain Categorization: A Rational Model, (with Elizaveta Konovalova), in Papafragou, A., Grodner, D., Mirman, D., and Trueswell, J. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, August 2016. Austin, TX: Cognitive Science Society.  [PDF] 

  4. Selective Information Sampling and the In-Group Heterogeneity Effect  (with Elizaveta Konovalova), in Gunzelmann, G., Howes, A., Tenbrink, T., Davelaar, E. (Eds), Proceedings of the 39th Annual Conference of the Cognitive Science Society, August 2017. Austin, TX: Cognitive Science Society.  [PDF] 

  5. Learning Variability from Experience, (with Elizaveta Konovalova), in Kalish, C., Rau, M., Zhu, J., & Rogers, T. T. (Eds), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 1942-1947), August 2018. Austin, TX: Cognitive Science Society. [PDF] 

  6. The few-get-richer: a surprising consequence of popularity-based rankings, (with Fabrizio Germano & Vicenç Gómez), Web Conference, 2019. DOI: 10.1145/3308558.3313693. [Arxiv]. 

Book Chapters

• 1. Studying Organizational Populations Over Time (with Glenn R. Carroll, Mi Feng and Dave McKendrick), Handbook of Organizational Research Methods (pp 213-229), D. Buchanan and A. Bryman (Eds.). Sage Publications, London, May 2009. [Request paper] 

  2. Social Judgments from Adaptive Samples (with Jerker Denrell), Social Judgment and Decision Making, (pp 151-169) J. Krueger, (Ed.). Psychology Press, 2011. [PDF] 

  3. The Hot Stove Effect (with Jerker Denrell). To appear in Fiedler, K., Juslin, P., and Denrell, J. (Eds.), Sampling in Judgment and Decision Making. Cambridge University Press. DOI: 10.1017/9781009002042.005

  4. Opinion Homogenization and Polarization: Three Sampling Models (with with Elizaveta Konovalova). To appear in Fiedler, K., Juslin, P., and Denrell, J. (Eds.), Sampling in Judgment and Decision Making. Cambridge University Press. DOI: 10.1017/9781009002042.024

  5. The Collective Hot Stove Effect (with Balázs Kovács, & Judith Avrahami & Yaakov Kareev). To appear in Fiedler, K., Juslin, P., and Denrell, J. (Eds.), Sampling in Judgment and Decision Making. Cambridge University Press. DOI: 10.1017/9781009002042.015

Working Papers

1. Scaling Political Texts with ChatGPT (with Aina Gallego). arXiv pre-print arXiv:2311.16639 . DOI: 10.48550/arXiv.2311.16639