Ideological Consumerism in Colombian Elections, 2015: Links Between Political Ideology, Twitter Activity, and Electoral Results

被引：15

作者：

Correa, Juan C. ^{[1
]}

Camargo, Jorge E. ^{[2
]}

机构：

[1] Fdn Univ Konrad Lorenz, Fac Psicol, Edificio Corpoctr,Carrera 8 64-42,Piso 4, Bogota 110231, Colombia

[2] Fdn Univ Konrad Lorenz, Fac Matemat & Ingn, Bogota, Colombia

来源：

CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING | 2017年 / 20卷 / 01期

关键词：

Twitter; Colombian elections; ideological consumerism; POLARIZATION; FREQUENCY;

D O I：

10.1089/cyber.2016.0402

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

Propagation of political ideologies in social networks has shown a substantial impact on voting behavior. Both the contents of the messages (the ideology) and the politicians' influence on their online audiences (their followers) have been associated with such an impact. In this study we evaluate which of these factors exerted a major role in deciding electoral results of the 2015 Colombian regional elections by evaluating the linguistic similarity of political ideologies and their influence on the Twitter sphere. The electoral results proved to be strongly associated with tweets and retweets and not with the linguistic content of their ideologies or politicians' followers in Twitter. Finally, suggestions for new ways to analyze electoral processes are discussed.

引用

页码：37 / 43

页数：7

共 3 条

[1] Twitter as a tool for electoral political communication. Incidence in the electoral campaign of the local elections of 24th May 2015 in Montilla (Cordoba)
Murcia Verdu, Francisco Jose
REVISTA ICONO 14-REVISTA CIENTIFICA DE COMUNICACION Y TECNOLOGIAS, 2018, 16 (02):
[2] Indicator Proposal for Measuring Regional Political Support for the Electoral Process on Twitter: The Case of Spain's 2015 and 2016 General Elections
Franco-Riquelme, Jose N.
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IEEE ACCESS, 2019, 7 : 62545 - 62560
[3] National leaders' Twitter speech to infer political leaning and election results in 2015 Venezuelan Parliamentary Elections
Castro, Rodrigo
Vaca, Carmen
2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2017), 2017, : 866 - 871

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