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首页> 外文期刊>Frontiers in Psychology >Climate of Hate: Similar Correlates of Far Right Electoral Support and Right-Wing Hate Crimes in Germany
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Climate of Hate: Similar Correlates of Far Right Electoral Support and Right-Wing Hate Crimes in Germany

机译:仇恨气氛:德国右翼选举支持和右翼仇恨犯罪的类似相关性

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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 (N = 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.
机译:2015年以来,极右政党的激进的反难民修辞大量绘制在德国获得了选民的支持,而政治仇恨犯罪瞄准的难民人数上升。这两个现象 - 极右翼选民的支持和右翼仇恨犯罪的发生率 - 有理论和经验一直与社会经济结构和上下文变量相关。然而,这些链接系统的实证研究分散充其量稀少。我们在政治仇恨犯罪在德国全国大选与社会结构变量(外国人和失业率的比例)针对在德国难民和极右选民的支持极右政党“另类献给德国”(AFD)的2017年并结合官方统计在2016年我们会汇总并为所有的德国城市柏林,除了这是分析当前的研究水平结合数据的代表性的调查(N = 1506)的调查数据。在路径分析中,我们发现社会结构变量是不相关的相互而是以系统的方式都标变显著相关:外国人的比例呈负相关,而失业率呈正极右翼选民的支持链接。右翼犯罪与仅在东德的外国人的比例正与在德国的失业率和正相关,而外国人的比例无关西德右翼犯罪。当包括调查测量到模型中,他们在预测流行的社会结构变量链接 - 际接触与外国人的比例正相关,集体剥夺与失业率呈正相关,两者预测极端右翼的态度。然而,他们的贡献解释方差的结果变量超出社会经济结构变量是不容忽视的。我们认为,这两个远右翼选民的支持和右翼仇恨犯罪可以被概念化为通过社会结构和情境因素的影响政治极端主义的行为方式,并讨论防止政治极端主义的影响。

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