Proceedings of the 1st International Conference on Language, Literature, Education and Culture, ICOLLEC 2021, 9-10 October 2021, Malang, Indonesia

Research Article

Opposition’s Allegation against Corruption Eradication Commission (KPK) in Indonesia: Is it Cyberbullying According to Forensic Linguistics?

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  • @INPROCEEDINGS{10.4108/eai.9-10-2021.2319472,
        author={Bening Salsa Biela},
        title={Opposition’s Allegation against Corruption Eradication Commission (KPK) in Indonesia:              Is it Cyberbullying According to Forensic Linguistics?},
        proceedings={Proceedings of the 1st International Conference on Language, Literature, Education and Culture, ICOLLEC 2021, 9-10 October 2021, Malang, Indonesia},
        publisher={EAI},
        proceedings_a={ICOLLEC},
        year={2022},
        month={7},
        keywords={corruption eradication commission (kpk) cyberbullying forensic linguistics systemic functional linguistics twitter},
        doi={10.4108/eai.9-10-2021.2319472}
    }
    
  • Bening Salsa Biela
    Year: 2022
    Opposition’s Allegation against Corruption Eradication Commission (KPK) in Indonesia: Is it Cyberbullying According to Forensic Linguistics?
    ICOLLEC
    EAI
    DOI: 10.4108/eai.9-10-2021.2319472
Bening Salsa Biela1,*
  • 1: Universitas Islam Negeri Raden Mas Said Surakarta
*Contact email: salsabiilbening@gmail.com

Abstract

Corruption Eradication Commission (KPK) in Indonesia has been facing many serious allegations, particularly which aimed via social media. On the other hand, cyberbullying has become a huge apprehension to the linguists and law enforcers as a result of its negative influence to the victims. This study attempts to examine the legal significance of the use of cyberbullying language in Twitter and uses a descriptive qualitative approach. The data were taken from Twitter column reply which contains 69 replies with total 136 of clauses and sentences. The data are analyzed with Martin’s attitudinal system and Willard’s categories of cyberbullying. This study finds that 1) according to Martin, 86% of the language use of the suspected cyberbullies contain judgment, 32% contain negative appreciation, and 2% contain affect, 2) 58% contains harassment, 18% contain flaming and 52% contain denigration as categorized by Willard, 3) based on the attitudinal system and cyberbullying category analysis, forensic linguistic views the suspected cyberbullies’ language use to violate the Law of the Republic Indonesia on the Electronic Information and Transaction.