Tell me who you dollow and I’ll rell you who you are: Bayesian estimate of feminist ideology on Twitter (2022)
- Authors:
- USP affiliated authors: BRANCO, MARCIA D ELIA - IME ; MORAIS, CAMILA LAINETTI DE - EACH
- Unidades: IME; EACH
- Subjects: IDEOLOGIA POLÍTICA; REDES SOCIAIS; INFERÊNCIA BAYESIANA; BIG DATA
- Keywords: Latent Model; Twitter’s Data
- Agências de fomento:
- Language: Inglês
- Abstract: A common challenge in the social sciences is to understand the political positioning of a population and its representatives. Measuring and comparing these locations can be a difficult task, requiring a wealth of always-up-to-date data from the people being surveyed, as well as a highly complex understanding of how these data are related. To address this challenge, Barberá (2015) proposes a Bayesian ideal point statistical model that measures ideology across the conservative-liberal political spectrum using latent variables. Barberá’s technique uses connections made by users of the social network Twitter as the main source to understand political positions and opinions. The model proposed by Barberá is a Bayesian latent model, called Model of Ideal Points (MIP). Using the MIP, this paper analyzes a set of Brazilian influencers and citizens active on Twitter, measuring their ideological positions on feminism, with the aim of understanding more about feminist and anti-feminist groups, the relationship between them and their possible divisions. The estimates of the influencer’s ideal points, indicate that there are two groups, one feminist and one anti-feminist, quite separate and with few common followings. In relation to the citizens, preliminars results indicate more moderate positions than those of public figures.
- Imprenta:
- Source:
- Título: Livro de Resumos
- Conference titles: Simpósio Nacional de Probabilidade e Estatística - SINAPE
-
ABNT
MORAIS, Camila Lainetti de e BRANCO, Marcia D'Elia. Tell me who you dollow and I’ll rell you who you are: Bayesian estimate of feminist ideology on Twitter. 2022, Anais.. São Paulo: ABE, 2022. Disponível em: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf. Acesso em: 14 mar. 2026. -
APA
Morais, C. L. de, & Branco, M. D. 'E. (2022). Tell me who you dollow and I’ll rell you who you are: Bayesian estimate of feminist ideology on Twitter. In Livro de Resumos. São Paulo: ABE. Recuperado de https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf -
NLM
Morais CL de, Branco MD'E. Tell me who you dollow and I’ll rell you who you are: Bayesian estimate of feminist ideology on Twitter [Internet]. Livro de Resumos. 2022 ;[citado 2026 mar. 14 ] Available from: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf -
Vancouver
Morais CL de, Branco MD'E. Tell me who you dollow and I’ll rell you who you are: Bayesian estimate of feminist ideology on Twitter [Internet]. Livro de Resumos. 2022 ;[citado 2026 mar. 14 ] Available from: https://app.eventize.com.br/upload/004449/files/Sinape2022_FINAL.pdf - Modelos de misturas finitas de distribuições alpha potência normal assimétrica para o caso localização-escala
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