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极化是集体参与的心理基础。

Polarization is the psychological foundation of collective engagement.

作者信息

Smith Laura G E, Thomas Emma F, Bliuc Ana-Maria, McGarty Craig

机构信息

University of Bath, Bath, UK.

Flinders University, Adelaide, Australia.

出版信息

Commun Psychol. 2024 May 6;2(1):41. doi: 10.1038/s44271-024-00089-2.

DOI:10.1038/s44271-024-00089-2
PMID:39242857
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11332107/
Abstract

The term polarization is used to describe both the division of a society into opposing groups (political polarization), and a social psychological phenomenon (group polarization) whereby people adopt more extreme positions after discussion. We explain how group polarization underpins the political polarization phenomenon: Social interaction, for example through social media, enables groups to form in such a way that their beliefs about what should be done to change the world-and how this differs from the stance of other groups-become integrated as aspects of a new, shared social identity. This provides a basis for mobilization to collective action.

摘要

“两极分化”一词用于描述社会分裂为对立群体(政治两极分化),以及一种社会心理现象(群体极化),即人们在讨论后会采取更极端的立场。我们解释了群体极化如何支撑政治两极分化现象:社会互动,例如通过社交媒体,使群体得以形成,其关于应如何改变世界的信念——以及这与其他群体立场的差异——成为新的、共享的社会身份的一部分。这为动员采取集体行动提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/a455343225a2/44271_2024_89_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/363122d4f21b/44271_2024_89_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/c759172f8b21/44271_2024_89_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/a455343225a2/44271_2024_89_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/363122d4f21b/44271_2024_89_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/c759172f8b21/44271_2024_89_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd50/11332107/a455343225a2/44271_2024_89_Fig3_HTML.jpg

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Like-minded sources on Facebook are prevalent but not polarizing.脸书上志同道合的消息源很常见,但不会造成两极分化。
Nature. 2023 Aug;620(7972):137-144. doi: 10.1038/s41586-023-06297-w. Epub 2023 Jul 27.
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How do social media feed algorithms affect attitudes and behavior in an election campaign?
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Attitude networks as intergroup realities: Using network-modelling to research attitude-identity relationships in polarized political contexts.态度网络作为群体间的现实:在极化政治环境中使用网络建模研究态度-认同关系。
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