Proceedings of the 1st International Seminar on Cultural Sciences, ISCS 2020, 4 November 2020, Malang, Indonesia

Research Article

Language of Corruption in British National Corpus

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  • @INPROCEEDINGS{10.4108/eai.4-11-2020.2308912,
        author={Tantri Refa Indhiarti and Shofiyah  Salsabila},
        title={Language of Corruption in British National Corpus},
        proceedings={Proceedings of the 1st International Seminar on Cultural Sciences, ISCS 2020, 4 November 2020, Malang, Indonesia},
        publisher={EAI},
        proceedings_a={ISCS},
        year={2021},
        month={6},
        keywords={corruption discourse historical approach british national corpus},
        doi={10.4108/eai.4-11-2020.2308912}
    }
    
  • Tantri Refa Indhiarti
    Shofiyah Salsabila
    Year: 2021
    Language of Corruption in British National Corpus
    ISCS
    EAI
    DOI: 10.4108/eai.4-11-2020.2308912
Tantri Refa Indhiarti1,*, Shofiyah Salsabila1
  • 1: Universitas Brawijaya, Indonesia
*Contact email: tantri.refa@ub.ac.id

Abstract

The issue of corruption is under discussion as it is one of the main barriers to sustainable economic, political and social development. In order to achieve this goal, the Discourse-Historical Approach was carried out for the node word 'corruption' in BNC. Key methodological issues in CL, namely keywords, collocations, semantic preferences and concordance, have been addressed. The analysis reveals that 'bribery' is a subject discussed in the written and spoken genres of fictional and non-fictional text in the corpus. It is part of the 'world affairs' domain, where the situation is mainly distributed by young people up to 60 years old. In the distribution it is known that the node word is colloquially categorized according to its semantic preferences with other words or keywords. The pattern of interactions relates to the actors involved (i.e., government, police) in corruption, the scope of corruption including the types (i.e., bribery, nepotism, brutality) (i.e., allegation, investigation, charges). With the help of other texts on corruption semantic preferences are further analysed in order to achieve its analysis that the labelled corrupt is a consequence of interactions between the normative structure that produces meaning.