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Behind Our Words: Psychological Paths Underlying the Un/Supportive Stance Toward Immigrants in Social Media

机译:言语背后:社交媒体中针对移民的不支持/支持立场的心理路径

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The present work is aimed at exploring the psychological paths underlying supportive and unsupportive social media stances toward immigrants. This investigation is based on a particular case of supportive communication on immigration promoted on line by a public figure (Morandi, a famous Italian singer). The used methodology integrated methods from data science and psychology, and it was based on a machine learning approach combined with a psycho-lexical analysis of online discussions. Results showed that from the words used by social media commenters can be extracted peculiar psychological processes behind supportive and unsupportive stance toward immigrant hosting. In particular, words were qualitatively grouped by defining the underlying value dimension, cognitive, emotional and also attributional processes for both supportive and unsupportive commenters. Thus this study allowed to find fine grained socio-psychological shades by overcoming the simple polarized online stances detection.
机译:本工作旨在探索支持和不支持社交媒体对移民的立场所基于的心理路径。这项调查基于一个由公众人物(著名的意大利歌手Morandi)在线推动的关于移民的支持性交流的特殊案例。所使用的方法论融合了数据科学和心理学领域的方法,它基于一种机器学习方法,结合了对在线讨论的心理-词法分析。结果表明,从社交媒体评论员所使用的词语中,可以得出支持和不支持移民托管的立场背后的特殊心理过程。特别是,通过定义支持者和不支持者的基本价值维度,认知,情感以及归因过程,对单词进行定性分组。因此,本研究通过克服简单的极化在线姿态检测方法,找到了细粒度的社会心理阴影。

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