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Data Analytics based Gender Stereotypes Represented in the Audiovisual Narrative of the Series "You"

  • Jeri-Condori
  • , Nataly Silvana
  • , Villanueva-Pastrana
  • , Enzo Javier
  • , Turriate-Guzman
  • , Adriana Margarita
  • Universidad Privada del Norte

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This research analyzes gender stereotypes in the audiovisual narrative of the first season of the series You. The objective is to describe the components of the masculine and feminine archetypes represented in the main characters. For this purpose, the qualitative methodology, the case study method, as well as observation and focus group techniques were used. Likewise, observation sheets were applied to detect psychosocial characteristics such as traits, roles, motivations, and behaviors in the archetypes. In the focus groups, through an interview guide, the impressions of students between 19 and 25 years old in Lima, Peru, were collected. The results were analyzed through data reduction. The research showed that gender stereotypes were represented through male and female archetypes in the main characters. Likewise, their psychosocial characteristics such as traits, roles, motivations, and behaviors were identified and classified as negative and positive.

Idioma originalInglés
Título de la publicación alojada5th International Conference on Inventive Computation Technologies, ICICT 2022 - Proceedings
Páginas242-248
Número de páginas7
ISBN (versión digital)9781665408370
DOI
EstadoPublicada - 2022
Evento5th International Conference on Inventive Computation Technologies, ICICT 2022 - Lalitpur, Nepal
Duración: 20 jul. 202222 jul. 2022

Serie de la publicación

Nombre5th International Conference on Inventive Computation Technologies, ICICT 2022 - Proceedings

Conferencia

Conferencia5th International Conference on Inventive Computation Technologies, ICICT 2022
País/TerritorioNepal
CiudadLalitpur
Período20/07/2222/07/22

Huella

Profundice en los temas de investigación de 'Data Analytics based Gender Stereotypes Represented in the Audiovisual Narrative of the Series "You"'. En conjunto forman una huella única.

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