Emergence of polarized opinions from free association networks

We developed a method that can identify polarized public opinions by finding modules in a network of statistically related free word associations. Associations to the cue “migrant” were collected from two independent and comprehensive samples in Hungary (N(1) = 505, N(2) = 505). The co-occurrence-ba...

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Detalles Bibliográficos
Autores principales: File, Bálint, Keczer, Zsolt, Vancsó, Anna, Bőthe, Beáta, Tóth-Király, István, Hunyadi, Márton, Ujhelyi, Adrienn, Ulbert, István, Góth, Júlia, Orosz, Gábor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420605/
https://www.ncbi.nlm.nih.gov/pubmed/30094726
http://dx.doi.org/10.3758/s13428-018-1090-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420605/
https://www.ncbi.nlm.nih.gov/pubmed/30094726
http://dx.doi.org/10.3758/s13428-018-1090-z

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