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17.08.2022

A Mixed Approach for Aggressive Political Discourse Analysis on Twitter

verfasst von: Javier Torregrosa, Sergio D’Antonio-Maceiras, Guillermo Villar-Rodríguez, Amir Hussain, Erik Cambria, David Camacho

Erschienen in: Cognitive Computation | Ausgabe 2/2023

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Abstract

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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Fußnoten
1
CIS (Centro de Investigaciones Sociológicas), Spanish Sociological Research Centre: https://​www.​cis.​es/​cis/​opencms/​EN/​index.​html
 
2
To avoid sorting these parties arbitrarily, this paper will structure the outcomes regarding each of them according to their established order in this survey, from left to right.
 
3
The association of the candidates’ names mentioned in the sections of this article with their political party can be found in Table 3.
 
6
NLTK, the Natural Language Toolkit: https://​www.​nltk.​org/​
 
7
Vallecas is a working-class district in the city of Madrid.
 
8
Although in Spain polarized positions can be traced back at least as far as the eighteenth century, here the reminiscences refer to the confrontation regarding the interpretation of the Spanish civil war that resulted in Franco’s dictatorship and, mainly, the transition to democracy in 1977. On one hand, the right block sees the war as a crusade against communism, a tragedy closed during the transition to democracy, and claims to look at the future and not to the past . On the other hand, especially for Podemos, this is still an open issue due to the lack of official condemnation of the dictatorship and public recognition of its victims. These visions are still present, polarizing both historical blocks [92, 93].
 
9
Acronym for ‘Menores No Acompañados’, or ‘Unaccompanied Minors’, immigrant minors who have no parents and adults that are responsible for them in Spain.
 
10
This included, as stated on its web (https://​protegemadrid.​es/​), social and job insecurity, a problem with unsupervised immigrant minors, the veto of fundamental rights due to the COVID pandemic and the economic policy of the central left-wing government.
 
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Metadaten
Titel
A Mixed Approach for Aggressive Political Discourse Analysis on Twitter
verfasst von
Javier Torregrosa
Sergio D’Antonio-Maceiras
Guillermo Villar-Rodríguez
Amir Hussain
Erik Cambria
David Camacho
Publikationsdatum
17.08.2022
Verlag
Springer US
Erschienen in
Cognitive Computation / Ausgabe 2/2023
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-022-10048-w