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Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform

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dc.contributor.author Lobo Quintero, René Alejandro
dc.contributor.author Theophilou, Emily
dc.contributor.author Sánchez Reina, Jesús Roberto
dc.contributor.author Hernández Leo, Davinia
dc.date.accessioned 2024-02-07T07:06:34Z
dc.date.available 2024-02-07T07:06:34Z
dc.date.issued 2022
dc.identifier.citation Lobo-Quintero R, Theophilou E, Sánchez-Reina R, Hernández-Leo D. Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform. In: Wong LH, Hayashi Y, Collazos CA, Alvarez C, Zurita G, Baloian N, (Eds.). Collaboration Technologies and Social Computing, 28th International Conference, CollabTech 2022 proceedings; 2022 Nov 8-11; Santiago, Chile. Charm: Springer; 2022. p. 205-17. (LNCS; no.13632). DOI: 10.1007/978-3-031-20218-6_14
dc.identifier.uri http://hdl.handle.net/10230/58976
dc.description Comunicació presentada a: 28th International Conference, CollabTech 2022, celebrat del 8 a 11 de novembre a Santiago de Xile, Xile
dc.description.abstract 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.
dc.description.sponsorship This work has been partially supported by grants PID2020-112584RB-C33, MDM-2015-0502 funded by MICIN/AEI/https://doi.org/10.13039/501100011033 and the Volkswagen Stiftung (Courage, ref. 95 566). D. Hernández-Leo (Serra Húnter) acknowledges the support by ICREA under the ICREA Academia programme.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Wong LH, Hayashi Y, Collazos CA, Alvarez C, Zurita G, Baloian N, (Eds.). Collaboration Technologies and Social Computing, 28th International Conference, CollabTech 2022 proceedings; 2022 Nov 8-11; Santiago, Chile. Charm: Springer; 2022. p. 205-17. (LNCS; no.13632).
dc.rights © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 L.-H. Wong et al. (Eds.): CollabTech 2022, LNCS 13632, pp. 205-217, 2022. https://doi.org/10.1007/978-3-031-20218-6_14
dc.title Evaluating an adaptive intervention in collaboration scripts deconstructing body image narratives in a social media educational platform
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-031-20218-6_14
dc.subject.keyword Social media
dc.subject.keyword Digital skills
dc.subject.keyword Self-protection skills
dc.subject.keyword CSCL scripts
dc.subject.keyword Counter-narratives
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C33
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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