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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication5th International Conference on Inventive Computation Technologies, ICICT 2022 - Proceedings
Pages242-248
Number of pages7
ISBN (Electronic)9781665408370
DOIs
StatePublished - 2022
Event5th International Conference on Inventive Computation Technologies, ICICT 2022 - Lalitpur, Nepal
Duration: 20 Jul 202222 Jul 2022

Publication series

Name5th International Conference on Inventive Computation Technologies, ICICT 2022 - Proceedings

Conference

Conference5th International Conference on Inventive Computation Technologies, ICICT 2022
Country/TerritoryNepal
CityLalitpur
Period20/07/2222/07/22

Keywords

  • Character
  • Female Archetype
  • Gender Roles
  • Male Archetype

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