Browsing by Author "Le Mens, Gaël"

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  • Konovalova, Elizaveta; Le Mens, Gaël (American Psychological Association (APA), 2020)
    People often perceive their in-groups as more heterogeneous than their out-groups. We propose an information sampling explanation for this in-group heterogeneity effect. We note that people frequently obtain larger samples ...
  • Woiczyk, Thomas Karl Alfred (Universitat Pompeu Fabra, 2020-11-04)
    In this thesis I explore how people form and are affected by judgments about objects, people, and categories. In particular, I show how the implications are affected by the level of aggregation; both for human judgment and ...
  • Konovalova, Elizaveta (Universitat Pompeu Fabra, 2018-02-21)
    The three chapters of this thesis explore how previous experience and mental categories shape human judgments. Chapter One provides a sampling explanation for the in-group heterogeneity effect - a tendency of people to ...
  • Gisbert i Rodríguez, Josep (Universitat Pompeu Fabra, 2022-11-09)
    This dissertation studies financial technology adoption, learning from financial information, and inter-temporal decisions. It contains three chapters. Chapter one examines the impact of bank branch closures on fintech adoption. ...
  • Woiczyk, Thomas Karl Alfred; Le Mens, Gaël (American Psychological Association (APA), 2021)
    We analyze how people form evaluative judgments about categories based on their experiences with category members. Prior research suggests that such evaluative judgments depend on some experience average, but is unclear ...
  • Schöll, Nikolas; Gallego Dobón, Aina; Le Mens, Gaël (Wiley, 2024)
    This article studies how politicians react to feedback from citizens on social media. We use a reinforcement-learning framework to model how politicians respond to citizens’ positive feedback by increasing attention to ...
  • Denrell, Jerker; Le Mens, Gaël (Oxford University Press, 2020)
    We revisit the competency trap and reexamine when it occurs. We show that a bias against alternatives that improve with practice does not require that learning is myopic in the sense of lacking foresight or failing to ...
  • Germano, Fabrizio; Gómez, Vicenç; Le Mens, Gaël (2019-02-01)
    Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting ...
  • Germano, Fabrizio; Gómez, Vicenç; Le Mens, Gaël (ACM Association for Computer Machinery, 2019)
    Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting ...
  • Denrell, Jerker; Le Mens, Gaël (Cambridge University Press, 2023)
    People revisit the restaurants they like and avoid the restaurants with which they had a poor experience. This tendency to approach alternatives believed to be good is usually adaptive but can lead to a systematic bias. ...
  • Le Mens, Gaël; Kovács, Balázs; Hannan, Michael T.; Pros Rius, Guillem (Society for Sociological Science, 2023)
    Social scientists have long been interested in understanding the extent to which the typicalities of an object in concepts relate to its valuations by social actors. Answering this question has proven to be challenging ...

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