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Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter

Journalism Department, University of the Basque Country, 48940 Leioa, Spain
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Academic Editors: Manolis Wallace, Vassilis Poulopoulos, Angeliki Antoniou and Martín López-Nores
Big Data Cogn. Comput. 2021, 5(4), 69; https://doi.org/10.3390/bdcc5040069
Received: 18 October 2021 / Revised: 5 November 2021 / Accepted: 17 November 2021 / Published: 24 November 2021
(This article belongs to the Special Issue Big Data Analytics for Cultural Heritage)
Internet social media is a key space in which the memorial resources of social movements, including the stories and knowledge of previous generations, are organised, disseminated, and reinterpreted. This is especially important for movements such as feminism, which places great emphasis on the transmission of an intangible cultural legacy between its different generations or waves, which are conformed through these cultural transmissions. In this sense, several authors have highlighted the importance of social media and hashtivism in shaping the fourth wave of feminism that has been taking place in recent years (e.g., #metoo). The aim of this article is to present to the scientific community a hybrid methodological proposal for the network and content analysis of audiences and their interactions on Twitter: we will do so by describing and evaluating the results of different research we have carried out in the field of feminist hashtivism. Structural analysis methods such as social network analysis have demonstrated their capacity to be applied to the analysis of social media interactions as a mixed methodology, that is, both quantitative and qualitative. This article shows the potential of a specific methodological process that combines inductive and inferential reasoning with hypothetico-deductive approaches. By applying the methodology developed in the case studies included in the article, it is shown that these two modes of reasoning work best when they are used together. View Full-Text
Keywords: feminism; hashtivism; Twitter; social network analysis; Machine Learning feminism; hashtivism; Twitter; social network analysis; Machine Learning
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MDPI and ACS Style

Morales-i-Gras, J.; Orbegozo-Terradillos, J.; Larrondo-Ureta, A.; Peña-Fernández, S. Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter. Big Data Cogn. Comput. 2021, 5, 69. https://doi.org/10.3390/bdcc5040069

AMA Style

Morales-i-Gras J, Orbegozo-Terradillos J, Larrondo-Ureta A, Peña-Fernández S. Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter. Big Data and Cognitive Computing. 2021; 5(4):69. https://doi.org/10.3390/bdcc5040069

Chicago/Turabian Style

Morales-i-Gras, Jordi, Julen Orbegozo-Terradillos, Ainara Larrondo-Ureta, and Simón Peña-Fernández. 2021. "Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter" Big Data and Cognitive Computing 5, no. 4: 69. https://doi.org/10.3390/bdcc5040069

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