Why Should We Care What Extremists Think? The Contribution of Emic Perspectives to Understanding the “right-wing extremist” Mind-Set

contribution of setting to the study of characters and the main idea in e. brontes: wuthering heights and t. hardys: return of the native.

this thesis aims to adduce an unmitigated and comprehensive explication concerning the relationship of three significant elements of fiction: setting, chracter and theme. my research is basically placed on two outstanding novels of the 19th century: emily brontes wuthering heights and thomas hardys return of the native. my endeavour lies in studying the correlation among the three above-mention...

Unemployment and Right-Wing Extremist Crime

Right-wing extremism is a serious problem in many societies. A prominent hypothesis states that unemployment plays a crucial role for the occurrence of right-wing extremist crime. In this paper we empirically test this hypothesis. We use a previously not used data set which includes all officially recorded right-wing criminal acts in Germany. These data are recorded by the German Federal Crimin...

Understanding equivalence trials (and why we should care).

On why music changes what (we think) we taste

A pair of recently published studies demonstrate that what we happen to be listening to can sometimes change our perception (or, at the very least, our rating) of what we are eating or drinking. In one recent study, North (2012) showed that the emotional attributes (or connotation) of a piece of music could influence people's perception of red or white wine. Meanwhile, Crisinel et al. (2012) re...

Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups

Social media are used by an increasing number of political actors. A small subset of these is interested in pursuing extremist motives such as mobilization, recruiting or radicalization activities. In order to counteract these trends, online providers and state institutions reinforce their monitoring efforts, mostly relying on manual workflows. We propose a machine learning approach to support ...