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dc.contributor.authorBeltran Jorba, Javier
dc.contributor.authorGallego Dobón, Aina
dc.contributor.authorHuidobro Torres, Alba
dc.contributor.authorRomero Merino, Enrique
dc.contributor.authorPadró, Lluís
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2020-05-18T12:02:02Z
dc.date.issued2020-03-17
dc.identifier.citationBeltran, J. [et al.]. Male and female politicians on Twitter: A machine learning approach. "European journal of political research", 17 Març 2020, p. 1-16.
dc.identifier.issn0304-4130
dc.identifier.urihttp://hdl.handle.net/2117/187901
dc.description.abstractHow 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 infantilizing 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.sponsorshipWe gratefully acknowledge financial support from the Spanish Ministry for the Economy, Industry and Competitiveness (grant CSO2016-79569-P).
dc.format.extent16 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshMachine learning
dc.subject.lcshSex differences
dc.subject.lcshSocial networks
dc.subject.lcshPoliticians
dc.subject.otherTwitter
dc.subject.otherGender differences
dc.subject.otherSocial media
dc.titleMale and female politicians on Twitter: A machine learning approach
dc.typeArticle
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacDiferències entre sexes
dc.subject.lemacXarxes socials
dc.subject.lemacPolítics
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.identifier.doi10.1111/1475-6765.12392
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ejpr.onlinelibrary.wiley.com/doi/epdf/10.1111/1475-6765.12392
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac27641802
dc.description.versionPostprint (author's final draft)
dc.date.lift2022-03-17
local.citation.authorBeltrán, J.; Gallego, A.; Huidobro, A.; Romero, E.; Padró, L.
local.citation.publicationNameEuropean journal of political research
local.citation.startingPage1
local.citation.endingPage16


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