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...
| Autores: | , , |
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| 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 |
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| Acceso en línea: | https://hdl.handle.net/2445/221351 |
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| Palabra clave: | Opinió pública Xarxes socials Estudis de gènere Public opinion Social networks Gender studies |
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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 |
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2022 2025 2025 2025 |
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info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
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article |
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acceptedVersion |
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https://hdl.handle.net/2445/221351 |
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https://hdl.handle.net/2445/221351 |
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Inglés |
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Inglés |
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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 |
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cc-by (c) Schöll, N. et al., 2022 http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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cc-by (c) Schöll, N. et al., 2022 http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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18 p. application/pdf |
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Wiley |
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Wiley |
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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) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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