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Communication of stereotypes in the classroom: biased language use of German and Turkish adolescents
(2014)
Little is known about the linguistic transmission and maintenance of mutual stereotypes in interethnic contexts. This field study, therefore, investigated the linguistic expectancy bias (LEB) and the linguistic intergroup bias (LIB) among German and Turkish adolescents (13 to 20 years) in the school context. The LEB refers to the general phenomenon of describing stereotypes more abstractly. The LIB is the tendency to use language abstraction for in-group protective reasons. Results revealed an unmoderated LEB, whereas the LIB only occurred when foreigners were in the numerical majority, the classroom composition was perceived as a learning disadvantage, or the interethnic conflict frequency was high. These findings provide first evidence for the use of both LEB and LIB in an interethnic classroom setting.
This paper seeks to apply the principles of the famous 3-Circle-Model devised for the description of the ecolinguistic position of English world-wide to the position of German around the world.
On the one hand, the 3-Circle-Model for English with its "Inner", "Outer" and "Extended/Expanding" Circles was invented by Kachru in the 1980s and has since then been adopted, refined and criticised by numerous authors. The situation of German world-wide, on the other hand, has only been scarcely discussed in the past 20 years. While the global extension of German is obviously by far weaker than that of English, there are also a number of noteworthy similarities in terms of historical spread and the current position of these two languages.
This paper therefore discusses the analogies of global English and German by establishing three circles for German: the Inner Circle for the core German-speaking area, i.e. Germany, Austria and Switzerland; the Outer Circle including a number of German minority areas (mostly in Europe), and finally the Extended Circle which may be denoted as "Crumbling" rather than "Expanding". The latter comprises traditional German diaspora communities in different parts of the world which either result from migration, but also reflect the previous functions of German as a language of culture and as a lingua franca in regions like Eastern Europe. The paper argues that there are some striking structural similarities, but also shows the limits of this comparison.
We present a technique called event mapping that allows to project text representations into event lists, produce an event table, and derive quantitative conclusions to compare the text representations. The main application of the technique is the case where two classes of text representations have been collected in two different settings (e.g., as annotations in two different formal frameworks) and we can compare the two classes with respect to their systematic differences in the event table. We illustrate how the technique works by applying it to data collected in two experiments (one using annotations in Vladimir Propp’s framework, the other using natural language summaries).
We present the German Sentiment Analysis Shared Task (GESTALT) which consists of two main tasks: Source, Subjective Expression and Target Extraction from Political Speeches (STEPS) and Subjective Phrase and Aspect Extraction from Product Reviews (StAR). Both tasks focused on fine-grained sentiment analysis, extracting aspects and targets with their associated subjective expressions in the German language. STEPS focused on political discussions from a corpus of speeches in the Swiss parliament. StAR fostered the analysis of product reviews as they are available from the website Amazon.de. Each shared task led to one participating submission, providing baselines for future editions of this task and highlighting specific challenges. The shared task homepage can be found at https://sites.google.com/site/iggsasharedtask/.
This paper presents challenges and opportunities resulting from the application of geographical information systems (GIS) in the (digital) humanities. First, we provide an overview of the intersection and interaction between geography (and cartography), and the humanities. Second, the “GeoBib” project is used as a case study to exemplify challenges for such collaborative, interdisciplinary projects, both for the humanists and the geoscientists. Finally, we conclude with an outlook on further applications of GIS in the humanities, and the potential scientific benefit for both sides, humanities and geosciences.
Uncertain about Uncertainty: Different ways of processing fuzziness in digital humanities data
(2014)
The GeoBib project is constructing a georeferenced online bibliography of early Holocaust and camp literature published between 1933 and 1949 (Entrup et al. 2013a). Our immediate objectives include identifying the texts of interest in the first place, composing abstracts for them, researching their history, and annotating relevant places and times. Relations between persons, texts, and places will be visualized using digital maps and GIS software as an integral part of the resulting GeoBib information portal. The combination of diverse data from varying sources not only enriches our knowledge of these otherwise mostly forgotten texts; it also confronts us with vague, uncertain or even conflicting information. This situation yields challenges for all researchers involved – historians, literary scholars, geographers and computer scientists alike. While the project operates at the intersection of historical and literary studies, the involved computer scientists are in charge of providing a working environment (Entrup et al. 2013b) and processing the collected information in a way that is formalized yet capable of dealing with inevitable vagueness, uncertainty and contradictions. In this paper we focus on the problems and opportunities of encoding and processing fuzzy data.