IDEAS home Printed from https://ideas.repec.org/p/ven/wpaper/202602.html

Are hopeful narratives more convincing? A laboratory experiment

Author

Listed:
  • Luca Corazzini

    (University of Milan-Bicocca)

  • Marco Diamante

    (Ca’ Foscari University of Venice)

  • Valeria Maggian

    (Ca’ Foscari University of Venice)

Abstract

Assessing the causal impact of narratives on beliefs and behaviors remains an empirical challenge for social scientists, largely due to endogeneity and cultural factors. To address these limitations, we present the results of a novel, content-neutral laboratory experiment. In this experiment, participants (i) engage in a zero-sum game against a non-strategic robot, where the final outcome is determined with equal probability either by their choices or by randomness, and (ii) are exposed to either hopeful or passive narratives. These narratives differ in how ambiguous evidence is presented, suggesting whether or not participants can actively determine the final outcome of the game through their choices. Our findings reveal that, regardless of the narrative they are exposed to, participants consistently form beliefs and make choices under the illusion that they can influence the final outcomes. When provided with unambiguous evidence disproving this illusion, participants adjust their beliefs accordingly, although their choices take longer to align with these updated beliefs. Furthermore, exposure to the passive narrative reduces the inconsistency between beliefs and choices when participants mistakenly believe their choices determine the final outcome. Finally, presenting unambiguous evidence that contradicts the narrative's content increases the proportion of random and unpredictable choices.

Suggested Citation

  • Luca Corazzini & Marco Diamante & Valeria Maggian, 2026. "Are hopeful narratives more convincing? A laboratory experiment," Working Papers 2026: 02, Department of Economics, University of Venice "Ca' Foscari".
  • Handle: RePEc:ven:wpaper:2026:02
    as

    Download full text from publisher

    File URL: https://www.unive.it/web/fileadmin/user_upload/dipartimenti/DEC/doc/Pubblicazioni_scientifiche/working_papers/2026/WP_DSE_corazzini_diamante_maggian_02_26.pdf
    File Function: First version, anno
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    2. Harrison, Glenn W. & Martínez-Correa, Jimmy & Swarthout, J. Todd, 2014. "Eliciting subjective probabilities with binary lotteries," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 128-140.
    3. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    4. Tanjim Hossain & Ryo Okui, 2013. "The Binarized Scoring Rule," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 984-1001.
    5. Hillenbrand, Adrian & Verrina, Eugenio, 2022. "The asymmetric effect of narratives on prosocial behavior," Games and Economic Behavior, Elsevier, vol. 135(C), pages 241-270.
    6. McKelvey, Richard D & Page, Talbot, 1990. "Public and Private Information: An Experimental Study of Information Pooling," Econometrica, Econometric Society, vol. 58(6), pages 1321-1339, November.
    7. Chad Kendall & Ryan Oprea, 2024. "On the complexity of forming mental models," Quantitative Economics, Econometric Society, vol. 15(1), pages 175-211, January.
    8. Ignacio Esponda & Emanuel Vespa & Sevgi Yuksel, 2024. "Mental Models and Learning: The Case of Base-Rate Neglect," American Economic Review, American Economic Association, vol. 114(3), pages 752-782, March.
    9. Kfir Eliaz & Ran Spiegler, 2020. "A Model of Competing Narratives," American Economic Review, American Economic Association, vol. 110(12), pages 3786-3816, December.
    10. Richard H. Thaler, 2016. "Behavioral Economics: Past, Present, and Future," American Economic Review, American Economic Association, vol. 106(7), pages 1577-1600, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dominik Bauer & Irenaeus Wolff, 2018. "Biases in Beliefs: Experimental Evidence," TWI Research Paper Series 109, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    2. Folli, Dominik & Wolff, Irenaeus, 2022. "Biases in belief reports," Journal of Economic Psychology, Elsevier, vol. 88(C).
    3. Bauer, Dominik & Wolff, Irenaeus, 2019. "Biases in Beliefs," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203601, Verein für Socialpolitik / German Economic Association.
    4. Ahrens, Steffen & Bosch-Rosa, Ciril, 2023. "Motivated beliefs, social preferences, and limited liability in financial decision-Making," Journal of Banking & Finance, Elsevier, vol. 154(C).
    5. Wolff, Irenaeus & Folli, Dominik, 2024. "Why is belief–action consistency so low? The role of belief uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 227(C).
    6. Karl Schlag & James Tremewan & Joël Weele, 2015. "A penny for your thoughts: a survey of methods for eliciting beliefs," Experimental Economics, Springer;Economic Science Association, vol. 18(3), pages 457-490, September.
    7. Corazzini, Luca & Galavotti, Stefano & Valbonesi, Paola, 2019. "An experimental study on sequential auctions with privately known capacities," Games and Economic Behavior, Elsevier, vol. 117(C), pages 289-315.
    8. Antinyan, Armenak & Corazzini, Luca & D'Agostino, Elena & Pavesi, Filippo, 2023. "Watch your words: An experimental study on communication and the opportunity cost of delegation," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 216-232.
    9. Ahrens, Steffen & Bosch-Rosa, Ciril & Roulund, Rasmus, 2019. "Price Dynamics and Trader Overconfidence," Rationality and Competition Discussion Paper Series 161, CRC TRR 190 Rationality and Competition.
    10. Erkal, Nisvan & Gangadharan, Lata & Koh, Boon Han, 2020. "Replication: Belief elicitation with quadratic and binarized scoring rules," Journal of Economic Psychology, Elsevier, vol. 81(C).
    11. Ahrens, Steffen & Bosch-Rosa, Ciril, 2022. "Motivated beliefs, social preferences, and limited liability in financial decision-making," Discussion Papers 2022/8, Free University Berlin, School of Business & Economics.
    12. Markus Eyting & Patrick Schmidt, 2019. "Belief Elicitation with Multiple Point Predictions," Working Papers 1818, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 16 Nov 2020.
    13. Masiliūnas, Aidas, 2017. "Overcoming coordination failure in a critical mass game: Strategic motives and action disclosure," Journal of Economic Behavior & Organization, Elsevier, vol. 139(C), pages 214-251.
    14. Peter Schwardmann & Egon Tripodi & Joël J. van der Weele, 2019. "Self-Persuasion: Evidence from Field Experiments at Two International Debating Competitions," CESifo Working Paper Series 7946, CESifo.
    15. Eyting, Markus & Schmidt, Patrick, 2021. "Belief elicitation with multiple point predictions," European Economic Review, Elsevier, vol. 135(C).
    16. David J. Cooper & Krista Saral & Marie Claire Villeval, 2021. "Why Join a Team?," Management Science, INFORMS, vol. 67(11), pages 6980-6997, November.
    17. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2019. "Digital Communication and Swift Trust," Post-Print halshs-02409314, HAL.
    18. Aycinena, Diego & Bogliacino, Francesco & Kimbrough, Erik O., 2024. "Measuring norms: Assessing the threat of social desirability bias to the Bicchieri and Xiao elicitation method," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 225-239.
    19. Konstantinos Georgalos & Indrajit Ray & Sonali SenGupta, 2020. "Nash versus coarse correlation," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1178-1204, December.
    20. Antonio Cabrales & Michalis Drouvelis & Zeynep Gurguy & Indrajit Ray, 2017. "Transparency is Overrated: Communicating in a Coordination Game with Private Information," CESifo Working Paper Series 6781, CESifo.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ven:wpaper:2026:02. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sassano Sonia (email available below). General contact details of provider: https://edirc.repec.org/data/dsvenit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.