Social media index as proxy of the Brazilian consumer confidence index

Detalhes bibliográficos
Autor(a) principal: Farias, Renato M. S.
Data de Publicação: 2019
Outros Autores: Campelo Junior, Aloísio, Bittencourt, Viviane Seda
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/29437
Resumo: In this paper we formalize a Social Media Index (SMI) based on sentiment analysis performed on Twitter messages publicly available in the Portuguese language. This (possibly high-frequency) index shows the ability to detect events that are relevant to the social discord. Changes in the SMI are compared with changes with the monthly-aggregated Brazilian Consumer Con dence Index (CCI) in a 84-month window. The correlation r between the two indexes shows great dependence on the choice of lexicon used to evaluate sentiment (0.59 < r < 0.75). Granger-causality tests show that it is more likely that changes in social media sentiment precedes changes in Consumer Con dence than vice-versa. Furthermore, post-selection of Twitter messages based on selected keywords has the power to improve the association between SMI and CCI up to r = 0.81. On the one hand, our ndings suggest that the SMI and CCI are in uenced by the same set of emotions. On the other hand, the SMI has the ability to be published beforehand and with rather higher frequency.
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spelling Farias, Renato M. S.Campelo Junior, AloísioBittencourt, Viviane SedaDemais unidades::RPCA2020-07-13T19:35:00Z2020-07-13T19:35:00Z2019https://hdl.handle.net/10438/29437In this paper we formalize a Social Media Index (SMI) based on sentiment analysis performed on Twitter messages publicly available in the Portuguese language. This (possibly high-frequency) index shows the ability to detect events that are relevant to the social discord. Changes in the SMI are compared with changes with the monthly-aggregated Brazilian Consumer Con dence Index (CCI) in a 84-month window. The correlation r between the two indexes shows great dependence on the choice of lexicon used to evaluate sentiment (0.59 < r < 0.75). Granger-causality tests show that it is more likely that changes in social media sentiment precedes changes in Consumer Con dence than vice-versa. Furthermore, post-selection of Twitter messages based on selected keywords has the power to improve the association between SMI and CCI up to r = 0.81. On the one hand, our ndings suggest that the SMI and CCI are in uenced by the same set of emotions. On the other hand, the SMI has the ability to be published beforehand and with rather higher frequency.engConsumer confidenceSocial mediaTwitterTecnologiaMídia social - BrasilSocial media index as proxy of the Brazilian consumer confidence indexinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessMídias sociais e confiança do consumidorProjetos de Pesquisa AplicadaORIGINALSocial Media Index as proxy of Brazilian Consumer Confidence Index_preliminary version.pdfSocial Media Index as proxy of Brazilian Consumer Confidence Index_preliminary version.pdfapplication/pdf396625https://repositorio.fgv.br/bitstreams/4d650575-0c7f-42fb-a4ca-52f6efde5cfa/downloade097edb23482a480b01becae89fdfc66MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv Social media index as proxy of the Brazilian consumer confidence index
title Social media index as proxy of the Brazilian consumer confidence index
spellingShingle Social media index as proxy of the Brazilian consumer confidence index
Farias, Renato M. S.
Consumer confidence
Social media
Twitter
Tecnologia
Mídia social - Brasil
title_short Social media index as proxy of the Brazilian consumer confidence index
title_full Social media index as proxy of the Brazilian consumer confidence index
title_fullStr Social media index as proxy of the Brazilian consumer confidence index
title_full_unstemmed Social media index as proxy of the Brazilian consumer confidence index
title_sort Social media index as proxy of the Brazilian consumer confidence index
author Farias, Renato M. S.
author_facet Farias, Renato M. S.
Campelo Junior, Aloísio
Bittencourt, Viviane Seda
author_role author
author2 Campelo Junior, Aloísio
Bittencourt, Viviane Seda
author2_role author
author
dc.contributor.unidadefgv.por.fl_str_mv Demais unidades::RPCA
dc.contributor.author.fl_str_mv Farias, Renato M. S.
Campelo Junior, Aloísio
Bittencourt, Viviane Seda
dc.subject.por.fl_str_mv Consumer confidence
Social media
Twitter
topic Consumer confidence
Social media
Twitter
Tecnologia
Mídia social - Brasil
dc.subject.area.por.fl_str_mv Tecnologia
dc.subject.bibliodata.por.fl_str_mv Mídia social - Brasil
description In this paper we formalize a Social Media Index (SMI) based on sentiment analysis performed on Twitter messages publicly available in the Portuguese language. This (possibly high-frequency) index shows the ability to detect events that are relevant to the social discord. Changes in the SMI are compared with changes with the monthly-aggregated Brazilian Consumer Con dence Index (CCI) in a 84-month window. The correlation r between the two indexes shows great dependence on the choice of lexicon used to evaluate sentiment (0.59 < r < 0.75). Granger-causality tests show that it is more likely that changes in social media sentiment precedes changes in Consumer Con dence than vice-versa. Furthermore, post-selection of Twitter messages based on selected keywords has the power to improve the association between SMI and CCI up to r = 0.81. On the one hand, our ndings suggest that the SMI and CCI are in uenced by the same set of emotions. On the other hand, the SMI has the ability to be published beforehand and with rather higher frequency.
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-07-13T19:35:00Z
dc.date.available.fl_str_mv 2020-07-13T19:35:00Z
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