TY - GEN
T1 - Evaluating an Adaptive Intervention in Collaboration Scripts Deconstructing Body Image Narratives in a Social Media Educational Platform
AU - Lobo-Quintero, René
AU - Theophilou, Emily
AU - Sánchez-Reina, Roberto
AU - Hernández-Leo, Davinia
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Social Media is an important disseminator of body image representations and the body cult. The growing popularity of social media among children and adolescents makes minors a vulnerable group to the internalization of body ideals and stereotypes. Developing educational interventions that provide adolescents with skills to better understand the body image in social media is therefore necessary to counteract the effects of deceitful representations and discourse. This paper evaluates an adaptive educational intervention to define the suitable approach to teach adolescents about body image and stereotyping in social media. In particular, the paper examines and compares three approaches to identify the dominant body image stereotype in students’ social media: The self-reported methods, the analysis of social preferences, and the use of xAPI to track users’ behavior. Results showed that the use of xAPI combined with self-reported answers can provide better input from adolescents’ preferences. Moreover, it allows the automatic distribution of suitable counter-narratives to students participating in computer-supported collaborative learning activities embedded in an educational social media platform.
AB - Social Media is an important disseminator of body image representations and the body cult. The growing popularity of social media among children and adolescents makes minors a vulnerable group to the internalization of body ideals and stereotypes. Developing educational interventions that provide adolescents with skills to better understand the body image in social media is therefore necessary to counteract the effects of deceitful representations and discourse. This paper evaluates an adaptive educational intervention to define the suitable approach to teach adolescents about body image and stereotyping in social media. In particular, the paper examines and compares three approaches to identify the dominant body image stereotype in students’ social media: The self-reported methods, the analysis of social preferences, and the use of xAPI to track users’ behavior. Results showed that the use of xAPI combined with self-reported answers can provide better input from adolescents’ preferences. Moreover, it allows the automatic distribution of suitable counter-narratives to students participating in computer-supported collaborative learning activities embedded in an educational social media platform.
KW - Counter-narratives
KW - CSCL scripts
KW - Digital skills
KW - Self-protection skills
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85142621243&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-20218-6_14
DO - 10.1007/978-3-031-20218-6_14
M3 - Libros de Investigación
AN - SCOPUS:85142621243
SN - 9783031202179
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 205
EP - 217
BT - Collaboration Technologies and Social Computing - 28th International Conference, CollabTech 2022, Proceedings
A2 - Wong, Lung-Hsiang
A2 - Hayashi, Yugo
A2 - Collazos, Cesar A.
A2 - Alvarez, Claudio
A2 - Zurita, Gustavo
A2 - Baloian, Nelson
PB - Springer Science and Business Media Deutschland GmbH
T2 - 28th International Conference on Collaboration Technologies and Social Computing, CollabTech 2022
Y2 - 8 November 2022 through 11 November 2022
ER -