Suppr超能文献

公众舆论是如何变得极端的?

How does public opinion become extreme?

作者信息

Ramos Marlon, Shao Jia, Reis Saulo D S, Anteneodo Celia, Andrade José S, Havlin Shlomo, Makse Hernán A

机构信息

1] Levich Institute and Physics Department, City College of New York, New York, NY 10031, USA [2] Departamento de Física, PUC-Rio, 22451-900, Rio de Janeiro, Brazil [3] CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Ministério da Educação, 70040-020, Brasília, Distrito Federal, Brazil.

Bloomberg LP, New York, NY 10022, USA.

出版信息

Sci Rep. 2015 May 19;5:10032. doi: 10.1038/srep10032.

Abstract

We investigate the emergence of extreme opinion trends in society by employing statistical physics modeling and analysis on polls that inquire about a wide range of issues such as religion, economics, politics, abortion, extramarital sex, books, movies, and electoral vote. The surveys lay out a clear indicator of the rise of extreme views. The precursor is a nonlinear relation between the fraction of individuals holding a certain extreme view and the fraction of individuals that includes also moderates, e.g., in politics, those who are "very conservative" versus "moderate to very conservative" ones. We propose an activation model of opinion dynamics with interaction rules based on the existence of individual "stubbornness" that mimics empirical observations. According to our modeling, the onset of nonlinearity can be associated to an abrupt bootstrap-percolation transition with cascades of extreme views through society. Therefore, it represents an early-warning signal to forecast the transition from moderate to extreme views. Moreover, by means of a phase diagram we can classify societies according to the percolative regime they belong to, in terms of critical fractions of extremists and people's ties.

摘要

我们通过对民意调查采用统计物理建模和分析来研究社会中极端观点趋势的出现,这些民意调查涉及宗教、经济、政治、堕胎、婚外性行为、书籍、电影和选举投票等广泛问题。这些调查清楚地表明了极端观点的上升。其先兆是持有某种极端观点的个体比例与包括温和派在内的个体比例之间的非线性关系,例如在政治方面,“非常保守”的人与“温和到非常保守”的人。我们基于个体“固执”的存在提出了一种具有相互作用规则的观点动态激活模型,该模型模仿了实证观察结果。根据我们的模型,非线性的出现可能与通过社会的极端观点级联的突然自引导渗流转变有关。因此,它代表了预测从温和观点向极端观点转变的早期预警信号。此外,通过相图,我们可以根据社会所属的渗流状态,依据极端分子的临界比例和人们的联系对社会进行分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8547/4437297/0fe6fb00206c/srep10032-f1.jpg

相似文献

1
How does public opinion become extreme?公众舆论是如何变得极端的?
Sci Rep. 2015 May 19;5:10032. doi: 10.1038/srep10032.

引用本文的文献

3
The Sound of Silence: Minorities, Abstention and Democracy.
Entropy (Basel). 2021 Dec 28;24(1):56. doi: 10.3390/e24010056.
5
Underlying socio-political processes behind the 2016 US election.2016 年美国大选背后的潜在社会政治进程。
PLoS One. 2019 Apr 9;14(4):e0214854. doi: 10.1371/journal.pone.0214854. eCollection 2019.
7
Maintaining trust when agents can engage in self-deception.当代理人能够自我欺骗时如何保持信任。
Proc Natl Acad Sci U S A. 2018 Aug 28;115(35):8728-8733. doi: 10.1073/pnas.1803438115. Epub 2018 Aug 13.
8
Clout, activists and budget: The road to presidency.影响力、活动家和预算:通往总统宝座之路。
PLoS One. 2018 Mar 1;13(3):e0193199. doi: 10.1371/journal.pone.0193199. eCollection 2018.
9
Modeling confirmation bias and polarization.建模确认偏误和极化。
Sci Rep. 2017 Jan 11;7:40391. doi: 10.1038/srep40391.

本文引用的文献

1
From social data mining to forecasting socio-economic crises.从社会数据挖掘到社会经济危机预测。
Eur Phys J Spec Top. 2011;195(1):3. doi: 10.1140/epjst/e2011-01401-8. Epub 2011 May 30.
4
Large cities are less green.大城市的绿化较少。
Sci Rep. 2014 Feb 28;4:4235. doi: 10.1038/srep04235.
6
Role of conviction in nonequilibrium models of opinion formation.信念在意见形成的非平衡模型中的作用。
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Dec;86(6 Pt 1):061127. doi: 10.1103/PhysRevE.86.061127. Epub 2012 Dec 21.
7
Heterogeneous k-core versus bootstrap percolation on complex networks.复杂网络上的异质k核与自引导渗流
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 May;83(5 Pt 1):051134. doi: 10.1103/PhysRevE.83.051134. Epub 2011 May 31.
8
Bootstrap percolation on complex networks.复杂网络上的引导渗流
Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jul;82(1 Pt 1):011103. doi: 10.1103/PhysRevE.82.011103. Epub 2010 Jul 1.
9
Early-warning signals for critical transitions.关键转变的早期预警信号。
Nature. 2009 Sep 3;461(7260):53-9. doi: 10.1038/nature08227.
10
Dynamic opinion model and invasion percolation.动态意见模型与侵入渗流
Phys Rev Lett. 2009 Jul 3;103(1):018701. doi: 10.1103/PhysRevLett.103.018701. Epub 2009 Jul 1.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验