Male and female politicians on Twitter: A machine learning approach
Visualitza/Obre
Cita com:
hdl:2117/187901
Tipus de documentArticle
Data publicació2021-02
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
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 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.
CitacióBeltran, J. [et al.]. Male and female politicians on Twitter: A machine learning approach. "European journal of political research", Febrer 2021, vol. 60, núm. 1, p. 239-251.
ISSN0304-4130
Versió de l'editorhttps://ejpr.onlinelibrary.wiley.com/doi/epdf/10.1111/1475-6765.12392
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Gender_politicians.pdf | 1,202Mb | Visualitza/Obre |