Articles producció científicaPsicologia

Emoji-Dis: A dataset of emojis characterised in 13 discrete emotions.

  • Datos identificativos

    Identificador:  imarina:9462834
    Autores:  Ferré P; Haro J; Pérez-Sánchez MÁ; Hinojosa JA
    Resumen:
    Emojis are widely used in digital communication. A key function of these symbols is to convey affective meaning. In order to study emojis scientifically, it is necessary to have normative data characterising them on a number of relevant variables. So far, however, resources in this area are scarce. This article presents subjective norms for 112 emojis in 13 affective dimensions that refer to discrete emotions: anger, disgust, fear, sadness, anxiety, happiness, awe, contentment, amusement, excitement, serenity, relief, and pleasure. This data was collected from 763 Spanish speakers and validated using standard methods applied to existing affective datasets of emojis and words. This is the first normative emoji study to provide data on a large number of positive emotions. Given that most emojis are used to communicate positive emotions, these norms will be of particular value to researchers interested in these graphic icons from a variety of academic fields. The dataset has been made freely available.
  • Otros:

    Enlace a la fuente original: https://www.nature.com/articles/s41597-025-05682-6
    Referencia de l'ítem segons les normes APA: Ferré P; Haro J; Pérez-Sánchez MÁ; Hinojosa JA (2025). Emoji-Dis: A dataset of emojis characterised in 13 discrete emotions.. Scientific Data, 12(1), 1313-. DOI: 10.1038/s41597-025-05682-6
    Referencia al articulo segun fuente origial: Scientific Data. 12 (1): 1313-
    DOI del artículo: 10.1038/s41597-025-05682-6
    Año de publicación de la revista: 2025
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2025-08-02
    Autor/es de la URV: Ferré Romeu, Maria Pilar
    Departamento: Psicologia
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Ferré P; Haro J; Pérez-Sánchez MÁ; Hinojosa JA
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Biodiversidade, Biotecnología, Ciências ambientais, Ciencias humanas, Ciencias sociales, Computer science applications, Education, Information systems, Library and information sciences, Multidisciplinary sciences, Statistics and probability, Statistics, probability and uncertainty, Zootecnia / recursos pesqueiros
    Direcció de correo del autor: mariadelpilar.ferre@urv.cat
  • Palabras clave:

    Emotions
    Humans
    Computer Science Applications
    Education
    Information Systems
    Library and Information Sciences
    Multidisciplinary Sciences
    Statistics and Probability
    Statistics
    Probability and Uncertainty
    Biodiversidade
    Biotecnología
    Ciências ambientais
    Ciencias humanas
    Ciencias sociales
    Zootecnia / recursos pesqueiros
  • Documentos:

  • Cerca a google

    Search to google scholar