Almans and Kanaks: Inter-cultural Stereotypes in a German Twitter Corpus

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    This paper examines inter-cultural stereotypes in a large German Twitter Corpus (2 billion
    words). The main focus is on hetero- and auto-stereotypes found within the Turkish and Arab
    immigrant community in Germany, and since much of the relevant German-language data is
    influenced by the Kietzdeutsch sociolect, the term Alman (Turkish for ‘German’) is used as a
    window into the corpus. The term is contrasted with the German slur Kana(c)ke (‘foreigner’)
    and both investigated for associated stereotypes in both qualitative and quantitative ways,
    using concordances and relevant linguistic patterns (e.g. generalization and othering), as
    well as relative frequencies, sentiment analysis and word vector distances based on emoji
    classification. In connection with negative stereotyping, we discuss examples of “counter
    hate speech” directed by (part of) the immigrant minority at the German majority. Finally,
    we investigate the role of humour and jokes as vehicles of stereotypes.
    TidsskriftRASK – International journal of language and communication
    Sider (fra-til)101-117
    StatusUdgivet - 2021


    • Hate speech
    • cultural stereotypes


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