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Journal : Passage

Students’ attitudes towards South Jakarta’s youth language Adhitya Reinindra; R. Dian Dia-an Muniroh; Ernie D. A. Imperiani
Passage Vol 8, No 2 (2020): Agustus 2020
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/psg.v8i2.29810

Abstract

This study presents the results of a qualitative survey of 56 English Language and Literature study program at Universitas Pendidikan Indonesia. It highlights their attitudes towards the code-switching practices in Bahasa Jaksel. The data were obtained through questionnaire with the students from batch 2015 to 2019 The study employed theories on language attitudes by Crystal (1997) to analyze the data. The findings demonstrated that the students show different attitudes. Overall attitudes of the students were unanimously negative towards the code switching practice in Bahasa Jaksel. The study also found that these attitudes can be related to a number of factors/reasons, i.e. Comprehensibility, appropriateness, language threat, education, intelligence and perception. The findings suggest that the students felt the use of code-switching in South Jakarta is not suitable to be used in real life situations.Keywords: Bahasa Jaksel, code-switching, language attitudes.
Bullies' Attitudes on Twitter: A Forensic Linguistics Analysis of Cyberbullying (Systemic Functional Linguistics Approach) Nabila Putri Supriadi; Wawan Gunawan; R. Dian Dia-an Muniroh
Passage Vol 8, No 2 (2020): Agustus 2020
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/psg.v8i2.29840

Abstract

Cyberbullying has gained more concern among linguists and law enforcers due to its negative impacts on its victim. Aside from that, bullies can also face serious legal consequences. This study attempts to identify legal consequences of the cyberbullies’ language use as evidenced on Twitter by identifying the attitudinal systems used by the bullies. This followed a qualitative design involving categorizing data and examining the relationship between the categories. The data were 52 tweets, which consisted of bullying elements towards non-specific persons (students from an institution) from Twitter. The data were then categorized into Martin and White’s (2005) attitudinal system. The analysis found the languages of attitudes used by the bullies including 1) judgement (69%), 2) appreciation (18%), and 3) affect (13%). The findings of this study were discussed under the Laws of Information and Electronic Transaction, and viewed from forensic linguistic perspective.Keywords: Cyberbullying, Bullies, Twitter, Attitudes, Forensic Linguistics.