Reducing implicit prejudice by blurring intergroup boundaries

In two experiments we examined whether and when blurring intergroup boundaries reduces implicit prejudice. In Experiment 1 we observed that when participants first completed a task in which they generated characteristics that overlapped between an ingroup and an outgroup they showed less implicit bias as measured by an Implicit Association Test. In Experiment 2 we found that the effectiveness of blurring intergroup boundaries for reducing implicit bias was moderated by pretask levels of ingroup identification. We discuss these findings in the context of extending differentiation-based interventions for reducing explicit bias to the domain of implicit attitudes.

Anti-Slavic imagery in German radical nationalist discourse at the turn of the twentieth century: a prelude to Nazi ideology?

By applying methods of cognitive metaphor theory, Jaworska examines metaphorical scenarios employed in the discourse of anti-Slavism, which featured prominently in radical nationalist propaganda in Germany at the turn of the twentieth century. She does so by analysing metaphorical expressions used to refer to the Polish population living in the eastern provinces of Prussia, in the so-called Ostmark. Her article is based on an analysis of a range of pamphlets and newspaper articles written by some of the leading figures of two nationalist organizations: the Pan-German League (Alldeutscher Verband) and the Eastern Marches Society(Ostmarkenverein). The main research questions it addresses are: What kind of metaphoric scenarios were used to depict the Polish minority, and to what extent were the metaphorical patterns of anti-Slavic imagery similar to those employed in the antisemitic propaganda of the Nazi era? Is there a discursive continuity between the radical nationalism of imperial Germany and the National Socialism of the Third Reich at the level of metaphorical scenarios? Ultimately, Jaworska attempts to contribute to a better understanding of the cognitive mechanisms underlying radical and essentially racist attitudes.

Search engine liability for autocomplete suggestions: personality, privacy and the power of the algorithm

This article is concerned with the liability of search engines for algorithmically produced search suggestions, such as through Google’s ‘autocomplete’ function. Liability in this context may arise when automatically generated associations have an offensive or defamatory meaning, or may even induce infringement of intellectual property rights. The increasing number of cases that have been brought before courts all over the world puts forward questions on the conflict of fundamental freedoms of speech and access to information on the one hand, and personality rights of individuals— under a broader right of informational self-determination—on the other. In the light of the recent judgment of the Court of Justice of the European Union (EU) in Google Spain v AEPD, this article concludes that many requests for removal of suggestions including private individuals’ information will be successful on the basis of EU data protection law, even absent prejudice to the person concerned.