Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter

Detalhes bibliográficos
Autor(a) principal: Corona,Antonio
Data de Publicação: 2022
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S2183-54622022000100199
Resumo: Abstract This paper analyzes the relationship between the Mexican President’s discourse on Covid-19 and the use of Twitter by state officials at the start of the pandemic, through content analysis and supervised machine learning. Analyzing all tweets by state-level agencies during the first 6 months of the pandemic, we found that accounts belonging to the ruling party tweeted consistently less about Covid, compared to the opposition. Furthermore, the social-distancing hashtags endorsed by the Health Department were underused by the party’s own officials. We hypothesized that the president’s skeptical discourse on Covid-19 had a chilling effect on party officials’ use of Twitter during this period. Two random forest machine learning models were trained using the president’s words as predictors not only of the officials’ political alignment, but also of the amount of Covid tweets they posted. The models proved reliable, and the words most significant for prediction are markedly indicative of populist rhetoric. This illustrates how populist discourse from heads of government can undermine communication between institutions and citizens.
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spelling Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twittercovid-19populismtwittercommunicationsocial mediaAbstract This paper analyzes the relationship between the Mexican President’s discourse on Covid-19 and the use of Twitter by state officials at the start of the pandemic, through content analysis and supervised machine learning. Analyzing all tweets by state-level agencies during the first 6 months of the pandemic, we found that accounts belonging to the ruling party tweeted consistently less about Covid, compared to the opposition. Furthermore, the social-distancing hashtags endorsed by the Health Department were underused by the party’s own officials. We hypothesized that the president’s skeptical discourse on Covid-19 had a chilling effect on party officials’ use of Twitter during this period. Two random forest machine learning models were trained using the president’s words as predictors not only of the officials’ political alignment, but also of the amount of Covid tweets they posted. The models proved reliable, and the words most significant for prediction are markedly indicative of populist rhetoric. This illustrates how populist discourse from heads of government can undermine communication between institutions and citizens.Centro de Investigação Media e JornalismoFaculdade de Ciências Sociais e Humanas/Universidade Nova de Lisboa2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2183-54622022000100199Media & Jornalismo v.22 n.40 2022reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2183-54622022000100199Corona,Antonioinfo:eu-repo/semantics/openAccess2024-02-06T17:30:53Zoai:scielo:S2183-54622022000100199Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:34:13.131083Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
title Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
spellingShingle Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
Corona,Antonio
covid-19
populism
twitter
communication
social media
title_short Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
title_full Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
title_fullStr Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
title_full_unstemmed Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
title_sort Crisis in Mexico: the effect of the president’s discourse on state-level government communication about Covid-19 on Twitter
author Corona,Antonio
author_facet Corona,Antonio
author_role author
dc.contributor.author.fl_str_mv Corona,Antonio
dc.subject.por.fl_str_mv covid-19
populism
twitter
communication
social media
topic covid-19
populism
twitter
communication
social media
description Abstract This paper analyzes the relationship between the Mexican President’s discourse on Covid-19 and the use of Twitter by state officials at the start of the pandemic, through content analysis and supervised machine learning. Analyzing all tweets by state-level agencies during the first 6 months of the pandemic, we found that accounts belonging to the ruling party tweeted consistently less about Covid, compared to the opposition. Furthermore, the social-distancing hashtags endorsed by the Health Department were underused by the party’s own officials. We hypothesized that the president’s skeptical discourse on Covid-19 had a chilling effect on party officials’ use of Twitter during this period. Two random forest machine learning models were trained using the president’s words as predictors not only of the officials’ political alignment, but also of the amount of Covid tweets they posted. The models proved reliable, and the words most significant for prediction are markedly indicative of populist rhetoric. This illustrates how populist discourse from heads of government can undermine communication between institutions and citizens.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-01
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dc.identifier.uri.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2183-54622022000100199
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dc.language.iso.fl_str_mv eng
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dc.publisher.none.fl_str_mv Centro de Investigação Media e Jornalismo
Faculdade de Ciências Sociais e Humanas/Universidade Nova de Lisboa
publisher.none.fl_str_mv Centro de Investigação Media e Jornalismo
Faculdade de Ciências Sociais e Humanas/Universidade Nova de Lisboa
dc.source.none.fl_str_mv Media & Jornalismo v.22 n.40 2022
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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