Cargando…
Quantification of Gender Bias and Sentiment Toward Political Leaders Over 20 Years of Kenyan News Using Natural Language Processing
Background: Despite a 2010 Kenyan constitutional amendment limiting members of elected public bodies to < two-thirds of the same gender, only 22 percent of the 12th Parliament members inaugurated in 2017 were women. Investigating gender bias in the media is a useful tool for understanding socio-c...
Autores principales: | Pair, Emma, Vicas, Nikitha, Weber, Ann M., Meausoone, Valerie, Zou, James, Njuguna, Amos, Darmstadt, Gary L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703202/ https://www.ncbi.nlm.nih.gov/pubmed/34955949 http://dx.doi.org/10.3389/fpsyg.2021.712646 |
Ejemplares similares
-
Effect of imbalanced sampling and missing data on associations between gender norms and risk of adolescent HIV
por: Gupta, Ribhav, et al.
Publicado: (2022) -
Gender-related data missingness, imbalance and bias in global health surveys
por: Weber, Ann M, et al.
Publicado: (2021) -
Political bias indicators and perceptions of news
por: Bruchmann, Kathryn, et al.
Publicado: (2023) -
Analysis of news sentiments using natural language processing and deep learning
por: Vicari, Mattia, et al.
Publicado: (2020) -
Women Experts and Gender Bias in Political Media
por: Ozer, Adam L
Publicado: (2023)