Now showing items 1-3 of 3

    • Diversity of opinions promotes herding in uncertain crowds 

      Navajas, Joaquin; Armand, Oriane; Moran, Rani; Bahrami, Bahador; Deroy, Ophelia (Royal Society Open Science, 2022)
      Classic and recent studies demonstrate how we fall for the ‘tyranny of the majority' and conform to the dominant trend when uncertain. However, in many social interactions outside of the laboratory, there is rarely a clearly ...
    • Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation 

      Navajas, Joaquín; Furman, Damián Ariel; Junqueras, Juan; Gümüslü, Burçe; Deroy, Ophelia; Sulik, Justin (Universidad Torcuato Di Tella, 2024-06-28)
      We present Reasons For and Against Vaccination (RFAV), a dataset for predicting reasons for and against vaccination, and scientific authorities used to justify them, annotated through nichesourcing and augmented using GPT4 ...
    • The wisdom of extremized crowds: Promoting erroneous divergent opinions increases collective accuracy 

      Navajas, Joaquin; Barrera Lermarchand, Federico; Balenzuela, Pablo; Bahrami,Bahador; Deroy, Ophelia (Universidad Torcuato Di Tella, 2023)
      The aggregation of many lay judgements can generate surprisingly accurate estimates. This effect, known as the “wisdom of the crowd”, has been demonstrated in domains such as medical decision-making, factchecking news, ...