Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach
This paper provides a sentiment analysis of the political parties’ discussion on Twitter about the motion of no confidence in the Spanish government in 2018. In particular, 2824 tweets from the official accounts of the 13 political parties represented in the Congress of Deputies were extracted and a...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad de Alicante
2020-07-01
|
Series: | Revista Mediterránea de Comunicación |
Subjects: | |
Online Access: | https://www.mediterranea-comunicacion.org/article/view/2020-v11-n2-analisis-de-sentimiento-de-la-agenda-de-los-partidos-politicos-espanoles-en-twitter |
id |
doaj-16862078274c4d959186c10331483c9f |
---|---|
record_format |
Article |
spelling |
doaj-16862078274c4d959186c10331483c9f2020-11-25T03:40:03ZengUniversidad de AlicanteRevista Mediterránea de Comunicación1989-872X2020-07-0111218519310.14198/MEDCOM2020.11.2.22Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach Marc Blasco-Duatis0Germà Coenders1Universitat de Girona. Spain. marc.blasco@udg.eduUniversitat de Girona. Spain. germa.coenders@udg.eduThis paper provides a sentiment analysis of the political parties’ discussion on Twitter about the motion of no confidence in the Spanish government in 2018. In particular, 2824 tweets from the official accounts of the 13 political parties represented in the Congress of Deputies were extracted and analysed. The methodology applied compositional data analysis and its visualisation employing Biplot (a visualisation tool that enables contrasting the relative importance of the elements under study). Unlike traditional approaches, this study emphasises the relative importance of the issues within the agenda while incorporating a third category, the sentiment analysis. The main findings concern the reliability of the method to represent compositionally the agenda and the agenda-setters, as well as the sentiment analysis. This confirms that the issues most notably associated with certain parties also reflect their projection on sentiment. In sum, this analysis sheds light on sentiment representation in the agenda-setters (attribute agenda), especially in the field of political communication.https://www.mediterranea-comunicacion.org/article/view/2020-v11-n2-analisis-de-sentimiento-de-la-agenda-de-los-partidos-politicos-espanoles-en-twittersentiment analysisagenda-setterattribute agenda-settingcompositional data (coda)twitterbiplot |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marc Blasco-Duatis Germà Coenders |
spellingShingle |
Marc Blasco-Duatis Germà Coenders Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach Revista Mediterránea de Comunicación sentiment analysis agenda-setter attribute agenda-setting compositional data (coda) biplot |
author_facet |
Marc Blasco-Duatis Germà Coenders |
author_sort |
Marc Blasco-Duatis |
title |
Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach |
title_short |
Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach |
title_full |
Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach |
title_fullStr |
Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach |
title_full_unstemmed |
Sentiment analysis of the agenda of the Spanish political parties on Twitter during the 2018 motion of no confidence. A compositional data approach |
title_sort |
sentiment analysis of the agenda of the spanish political parties on twitter during the 2018 motion of no confidence. a compositional data approach |
publisher |
Universidad de Alicante |
series |
Revista Mediterránea de Comunicación |
issn |
1989-872X |
publishDate |
2020-07-01 |
description |
This paper provides a sentiment analysis of the political parties’ discussion on Twitter about the motion of no confidence in the Spanish government in 2018. In particular, 2824 tweets from the official accounts of the 13 political parties represented in the Congress of Deputies were extracted and analysed. The methodology applied compositional data analysis and its visualisation employing Biplot (a visualisation tool that enables contrasting the relative importance of the elements under study). Unlike traditional approaches, this study emphasises the relative importance of the issues within the agenda while incorporating a third category, the sentiment analysis. The main findings concern the reliability of the method to represent compositionally the agenda and the agenda-setters, as well as the sentiment analysis. This confirms that the issues most notably associated with certain parties also reflect their projection on sentiment. In sum, this analysis sheds light on sentiment representation in the agenda-setters (attribute agenda), especially in the field of political communication. |
topic |
sentiment analysis agenda-setter attribute agenda-setting compositional data (coda) biplot |
url |
https://www.mediterranea-comunicacion.org/article/view/2020-v11-n2-analisis-de-sentimiento-de-la-agenda-de-los-partidos-politicos-espanoles-en-twitter |
work_keys_str_mv |
AT marcblascoduatis sentimentanalysisoftheagendaofthespanishpoliticalpartiesontwitterduringthe2018motionofnoconfidenceacompositionaldataapproach AT germacoenders sentimentanalysisoftheagendaofthespanishpoliticalpartiesontwitterduringthe2018motionofnoconfidenceacompositionaldataapproach |
_version_ |
1724536734058807296 |