Social media index as proxy of the Brazilian consumer confidence index
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
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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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 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 |
topic |
Consumer confidence Social media 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 |
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2020-07-13T19:35:00Z |
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eng |
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