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Author: search.filters.author.Padilla, FernandaSubject: search.filters.subject.Comunicación

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    Item type:Publication,
    Beyond words: quantitative analysis of complex serial visual narrative through interaction-based modeled observations
    (Universidad Panamericana, Escuela de Comunicación, 2020-11-01)
    Garza, Patricia
    ;
    Yañez, Coppelia
    ;
    Arenas, Santiago
    ;
    Padilla, Fernanda
    ;
    Universidad Panamericana. Campus Ciudad de México. Escuela de Comunicación
    Even if differences between narrative structures in serialized visual narrative and other type of visual or literary media have been widely acknowledged by academia, current quantitative analysis of the specific case of TV series still relies either on instance counting or on general narrative frameworks of analysis. In this paper we try to address this maladjustment by building an interaction-based model tailored for the complexity of these narratives. To test its possibilities, we coded the first three seasons of HBO series Game of Thrones and constructed a numerical indicator that could be used for character analysis beyond traditional methods of interpretation. The results show high correspondence with a traditional textual analysis of the characters, even if the model did not take any dialogue to assess the content.
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