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仇恨氛围:德国极右翼选举支持与右翼仇恨犯罪的相似关联因素

Climate of Hate: Similar Correlates of Far Right Electoral Support and Right-Wing Hate Crimes in Germany.

作者信息

Rees Jonas H, Rees Yann P M, Hellmann Jens H, Zick Andreas

机构信息

Institute for Interdisciplinary Research on Conflict and Violence, Bielefeld University, Bielefeld, Germany.

Department of Social Psychology, Bielefeld University, Bielefeld, Germany.

出版信息

Front Psychol. 2019 Oct 18;10:2328. doi: 10.3389/fpsyg.2019.02328. eCollection 2019.

Abstract

Since 2015, far right parties drawing heavily on radical anti-refugee rhetoric gained electoral support in Germany while the number of political hate crimes targeting refugees rose. Both phenomena - far right electoral support and prevalence of right-wing hate crimes - have theoretically and empirically been linked with socio-structural and contextual variables. However, systematic empirical research on these links is scattered and scarce at best. We combine official statistics on political hate crimes targeting refugees in Germany and far right electoral support of the far right party "Alternative für Deutschland" (AfD) in the German national elections 2017 with socio-structural variables (proportion of foreigners and unemployment rate) and survey data collected in a representative survey ( = 1,506) in 2016. We aggregate and combine data for all German municipalities except Berlin which were the level of analysis for the current study. In path analyses, we find socio-structural variables to be unrelated with each other but significantly correlated with both criterion variables in a systematic fashion: proportion of foreigners was negatively while unemployment rate was positively linked with far right electoral support. Right-wing crime was linked positively with unemployment rate across Germany and positively with proportion of foreigners only in East Germany while proportion of foreigners was unrelated to right-wing crime in West Germany. When including survey measures into the model, they were linked with socio-structural variables in the predicted fashion - intergroup contact correlated positively with proportion of foreigners, collective deprivation correlated positively with unemployment rates, and both predicted extreme right-wing attitudes. However, their contribution to the explained variance in outcome variables above and beyond socio-structural variables was neglectable. We argue that both far right-wing electoral support and right-wing hate crime can be conceptualized as behavioral forms of political extremism shaped through socio-structural and contextual factors and discuss implications for preventing political extremism.

摘要

自2015年以来,大量使用激进反难民言论的极右翼政党在德国获得了选举支持,与此同时,针对难民的政治性仇恨犯罪数量也有所上升。从理论和实证角度来看,这两种现象——极右翼选举支持和右翼仇恨犯罪的盛行——都与社会结构和背景变量有关。然而,关于这些联系的系统性实证研究充其量只是零散且稀少的。我们将德国针对难民的政治性仇恨犯罪官方统计数据、极右翼政党“德国另类选择党”(AfD)在2017年德国全国选举中的极右翼选举支持数据与社会结构变量(外国人比例和失业率)以及2016年一项代表性调查(n = 1,506)中收集的调查数据相结合。我们汇总并合并了除柏林以外所有德国城市的数据,柏林是本研究的分析层面。在路径分析中,我们发现社会结构变量之间相互无关,但与两个标准变量都存在显著的系统性关联:外国人比例呈负相关,而失业率与极右翼选举支持呈正相关。右翼犯罪在全德国与失业率呈正相关,仅在东德与外国人比例呈正相关,而在西德外国人比例与右翼犯罪无关。当将调查指标纳入模型时,它们与社会结构变量的关联符合预期——群体间接触与外国人比例呈正相关,集体剥夺与失业率呈正相关,且两者都预测了极右翼态度。然而,它们对结果变量中超出社会结构变量的解释方差的贡献可以忽略不计。我们认为,极右翼选举支持和右翼仇恨犯罪都可以被概念化为通过社会结构和背景因素塑造的政治极端主义行为形式,并讨论了预防政治极端主义的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9687/6813724/9c1353029984/fpsyg-10-02328-g001.jpg

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