Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter
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 trans...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/5/4/69 |
| _version_ | 1797506623879512064 |
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| author | Jordi Morales-i-Gras Julen Orbegozo-Terradillos Ainara Larrondo-Ureta Simón Peña-Fernández |
| author_facet | Jordi Morales-i-Gras Julen Orbegozo-Terradillos Ainara Larrondo-Ureta Simón Peña-Fernández |
| author_sort | Jordi Morales-i-Gras |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T04:35:12Z |
| format | Article |
| id | doaj.art-e4f3c575b1d8474f95f71bac7b6598ef |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-03-10T04:35:12Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-e4f3c575b1d8474f95f71bac7b6598ef2023-11-23T03:51:14ZengMDPI AGBig Data and Cognitive Computing2504-22892021-11-01546910.3390/bdcc5040069Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on TwitterJordi Morales-i-Gras0Julen Orbegozo-Terradillos1Ainara Larrondo-Ureta2Simón Peña-Fernández3Journalism Department, University of the Basque Country, 48940 Leioa, SpainJournalism Department, University of the Basque Country, 48940 Leioa, SpainJournalism Department, University of the Basque Country, 48940 Leioa, SpainJournalism Department, University of the Basque Country, 48940 Leioa, SpainInternet 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.https://www.mdpi.com/2504-2289/5/4/69feminismhashtivismTwittersocial network analysisMachine Learning |
| spellingShingle | Jordi Morales-i-Gras Julen Orbegozo-Terradillos Ainara Larrondo-Ureta Simón Peña-Fernández Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter Big Data and Cognitive Computing feminism hashtivism social network analysis Machine Learning |
| title | Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter |
| title_full | Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter |
| title_fullStr | Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter |
| title_full_unstemmed | Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter |
| title_short | Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter |
| title_sort | networks and stories analyzing the transmission of the feminist intangible cultural heritage on twitter |
| topic | feminism hashtivism social network analysis Machine Learning |
| url | https://www.mdpi.com/2504-2289/5/4/69 |
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