How politicians learn from citizens' feedback: The case of gender on Twitter

This article studies how politicians react to feedback from citizens on social media. We use a reinforcementlearning framework to model how politicians respond to citizens’ positive feedback by increasing attention to better received issues and allow feedback to vary depending on politicians’ gender...

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Detalles Bibliográficos
Autores: Schöll, Nikolas, Gallego Dobón, Aina, Mens, Gaël le
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/221351
Acceso en línea:https://hdl.handle.net/2445/221351
Access Level:acceso abierto
Palabra clave:Opinió pública
Xarxes socials
Estudis de gènere
Public opinion
Social networks
Gender studies
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spelling How politicians learn from citizens' feedback: The case of gender on TwitterSchöll, NikolasGallego Dobón, AinaMens, Gaël leOpinió públicaXarxes socialsEstudis de gènerePublic opinionSocial networksGender studiesThis article studies how politicians react to feedback from citizens on social media. We use a reinforcementlearning framework to model how politicians respond to citizens’ positive feedback by increasing attention to better received issues and allow feedback to vary depending on politicians’ gender. To test the model, we collect 1.5 million tweets published by Spanish MPs over 3 years, identify gender-issue tweets using a deep-learning algorithm (BERT) and measure feedback using retweets and likes. We find that citizens provide more positive feedback to female politicians for writing about gender, and that this contributes to their specialization in gender issues. The analysis of mechanisms suggests that female politicians receive more positive feedback because they are treated differently by citizens. To conclude, we discuss implications for representation, misperceptions, and polarization.Wiley2025202520222025info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion18 p.application/pdfhttps://hdl.handle.net/2445/221351Articles publicats en revistes (Ciència Política, Dret Constitucional i Filosofia del Dret)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: doi.org/10.1111/ajps.12772American Journal of Political Science, 2022, vol. 68, num.2, p. 557-574https://doi.org/10.1111/ajps.12772cc-by (c) Schöll, N. et al., 2022http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/2213512026-05-29T05:05:01Z
dc.title.none.fl_str_mv How politicians learn from citizens' feedback: The case of gender on Twitter
title How politicians learn from citizens' feedback: The case of gender on Twitter
spellingShingle How politicians learn from citizens' feedback: The case of gender on Twitter
Schöll, Nikolas
Opinió pública
Xarxes socials
Estudis de gènere
Public opinion
Social networks
Gender studies
title_short How politicians learn from citizens' feedback: The case of gender on Twitter
title_full How politicians learn from citizens' feedback: The case of gender on Twitter
title_fullStr How politicians learn from citizens' feedback: The case of gender on Twitter
title_full_unstemmed How politicians learn from citizens' feedback: The case of gender on Twitter
title_sort How politicians learn from citizens' feedback: The case of gender on Twitter
dc.creator.none.fl_str_mv Schöll, Nikolas
Gallego Dobón, Aina
Mens, Gaël le
author Schöll, Nikolas
author_facet Schöll, Nikolas
Gallego Dobón, Aina
Mens, Gaël le
author_role author
author2 Gallego Dobón, Aina
Mens, Gaël le
author2_role author
author
dc.subject.none.fl_str_mv Opinió pública
Xarxes socials
Estudis de gènere
Public opinion
Social networks
Gender studies
topic Opinió pública
Xarxes socials
Estudis de gènere
Public opinion
Social networks
Gender studies
description This article studies how politicians react to feedback from citizens on social media. We use a reinforcementlearning framework to model how politicians respond to citizens’ positive feedback by increasing attention to better received issues and allow feedback to vary depending on politicians’ gender. To test the model, we collect 1.5 million tweets published by Spanish MPs over 3 years, identify gender-issue tweets using a deep-learning algorithm (BERT) and measure feedback using retweets and likes. We find that citizens provide more positive feedback to female politicians for writing about gender, and that this contributes to their specialization in gender issues. The analysis of mechanisms suggests that female politicians receive more positive feedback because they are treated differently by citizens. To conclude, we discuss implications for representation, misperceptions, and polarization.
publishDate 2022
dc.date.none.fl_str_mv 2022
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/221351
url https://hdl.handle.net/2445/221351
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: doi.org/10.1111/ajps.12772
American Journal of Political Science, 2022, vol. 68, num.2, p. 557-574
https://doi.org/10.1111/ajps.12772
dc.rights.none.fl_str_mv cc-by (c) Schöll, N. et al., 2022
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Schöll, N. et al., 2022
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18 p.
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Articles publicats en revistes (Ciència Política, Dret Constitucional i Filosofia del Dret)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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repository.mail.fl_str_mv
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