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Published on: February 18, 2013
Emergence of polarized opinions from free association networks
Bálint File1,2,3, Zsolt Keczer4,5, Anna Vancsó6
1Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Magyar Tudósok Körútja 2., Budapest, H-1117, Hungary. file.balint@itk.ppke.hu.
Abstract:
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 (N1 = 505, N2 = 505). The co-occurrence-based relations of the free word associations reflected emotional similarity, and the modules of the association network were validated with well-established measures. The positive pole of the associations was gathered around the concept of "Refugees" who need help, whereas the negative pole associated asylum seekers with "Violence." The results were relatively consistent in the two independent samples. We demonstrated that analyzing the modular organization of association networks can be a tool for identifying the most important dimensions of public opinion about a relevant social issue without using predefined constructs.
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