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A Mixed Approach for Aggressive Political Discourse Analysis on Twitter

Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the rise of different social movements in several countries, in which the political status quo changed. These changes included an increment of the different tensions underlying polit...

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Autores principales: Torregrosa, Javier, D’Antonio-Maceiras, Sergio, Villar-Rodríguez, Guillermo, Hussain, Amir, Cambria, Erik, Camacho, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385242/
https://www.ncbi.nlm.nih.gov/pubmed/35996741
http://dx.doi.org/10.1007/s12559-022-10048-w
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author Torregrosa, Javier
D’Antonio-Maceiras, Sergio
Villar-Rodríguez, Guillermo
Hussain, Amir
Cambria, Erik
Camacho, David
author_facet Torregrosa, Javier
D’Antonio-Maceiras, Sergio
Villar-Rodríguez, Guillermo
Hussain, Amir
Cambria, Erik
Camacho, David
author_sort Torregrosa, Javier
collection PubMed
description Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the rise of different social movements in several countries, in which the political status quo changed. These changes included an increment of the different tensions underlying politics, as has been reported after many other political and economical crises during the twentieth century. This article proposes the study of the political discourse, and its underlying tension, during Madrid’s elections (Spain) in May 2021 by using a mixed approach. To demonstrate if an aggressive tone is used during the campaign, a mixed methodology approach is applied: quantitative computational techniques, related to natural language processing, are used to conduct a first general analysis of the information screened; then, these methods are used for detecting specific trends that can be later filtered and analyzed using a qualitative approach (content analysis), which is also conducted to extract insights about the information found. The main outcomes of this study show that the electoral campaign is not as negative as perceived by the citizens and that there was no relationship between the tone of the discourse and its dissemination. The analysis confirms that the most ideologically extreme parties tend to have a more aggressive language than the moderate ones. The content analysis carried out using our methodology showed that Twitter is used as a sentiment thermometer more than as a way of communicating concrete politics.
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spelling pubmed-93852422022-08-18 A Mixed Approach for Aggressive Political Discourse Analysis on Twitter Torregrosa, Javier D’Antonio-Maceiras, Sergio Villar-Rodríguez, Guillermo Hussain, Amir Cambria, Erik Camacho, David Cognit Comput Article Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the rise of different social movements in several countries, in which the political status quo changed. These changes included an increment of the different tensions underlying politics, as has been reported after many other political and economical crises during the twentieth century. This article proposes the study of the political discourse, and its underlying tension, during Madrid’s elections (Spain) in May 2021 by using a mixed approach. To demonstrate if an aggressive tone is used during the campaign, a mixed methodology approach is applied: quantitative computational techniques, related to natural language processing, are used to conduct a first general analysis of the information screened; then, these methods are used for detecting specific trends that can be later filtered and analyzed using a qualitative approach (content analysis), which is also conducted to extract insights about the information found. The main outcomes of this study show that the electoral campaign is not as negative as perceived by the citizens and that there was no relationship between the tone of the discourse and its dissemination. The analysis confirms that the most ideologically extreme parties tend to have a more aggressive language than the moderate ones. The content analysis carried out using our methodology showed that Twitter is used as a sentiment thermometer more than as a way of communicating concrete politics. Springer US 2022-08-17 2023 /pmc/articles/PMC9385242/ /pubmed/35996741 http://dx.doi.org/10.1007/s12559-022-10048-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Torregrosa, Javier
D’Antonio-Maceiras, Sergio
Villar-Rodríguez, Guillermo
Hussain, Amir
Cambria, Erik
Camacho, David
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
title A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
title_full A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
title_fullStr A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
title_full_unstemmed A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
title_short A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
title_sort mixed approach for aggressive political discourse analysis on twitter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385242/
https://www.ncbi.nlm.nih.gov/pubmed/35996741
http://dx.doi.org/10.1007/s12559-022-10048-w
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