Male and female politicians on twitter: a machine learning approach

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• dc.contributor.author Beltrán, Javier
• dc.contributor.author Gallego Dobón, Aina
• dc.contributor.author Huidobro Torres, Alba
• dc.contributor.author Romero Merino, Enrique
• dc.contributor.author Padró, Lluís
• dc.date.accessioned 2022-01-27T12:39:49Z
• dc.date.available 2022-01-27T12:39:49Z
• dc.date.issued 2021
• dc.description Supplemental material file: online appendix
• dc.description.abstract How does the language of male and female politicians differ when they communicate directly with the public on social media? Do citizens address them differently? We apply Lasso logistic regression models to identify the linguistic features that most differentiate the language used by or addressed to male and female Spanish politicians. Male politicians use more words related to politics, sports, ideology and infrastructure, while female politicians talk about gender and social affairs. The choice of emojis varies greatly across genders. In a novel analysis of tweets written by citizens, we find evidence of gender-specific insults, and note that mentions of physical appearance and infantilising words are disproportionately found in text addressed to female politicians. The results suggest that politicians conform to gender stereotypes online and reveal ways in which citizens treat politicians differently depending on their gender.
• dc.description.sponsorship We gratefully acknowledge financial support from the Spanish Ministry for the Economy, Industry and Competitiveness (grant CSO2016-79569-P).
• dc.format.mimetype application/pdf
• dc.identifier.citation Beltran J, Gallego A, Huidobro A, Romero E, Padró L. Male and female politicians on twitter: a machine learning approach. European Journal of Political Research. 2021 Feb;60(1):239-51. DOI: 10.1111/1475-6765.12392
• dc.identifier.doi http://dx.doi.org/10.1111/1475-6765.12392
• dc.identifier.issn 0304-4130
• dc.identifier.uri http://hdl.handle.net/10230/52346
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof European Journal of Political Research. 2021 Feb;60(1):239-51
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/CSO2016-79569-P
• dc.rights This is the peer reviewed version of the following article: Beltran J, Gallego A, Huidobro A, Romero E, Padró L. Male and female politicians on twitter: a machine learning approach. European Journal of Political Research. 2021 Feb;60(1):239-51. DOI: 10.1111/1475-6765.12392, which has been published in final form at http://dx.doi.org/10.1111/1475-6765.12392. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Twitter
• dc.subject.keyword Gender differences
• dc.subject.keyword Politicians
• dc.subject.keyword Machine learning
• dc.subject.keyword Social media
• dc.title Male and female politicians on twitter: a machine learning approach
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion