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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Keperawatan BSI Austronesian: Journal of Language Science & Literature Jurnal Pendidikan dan Pengabdian Masyarakat Majalah Cendekia Mengabdi
Rika Purnama Sari
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Humanities Education Environmental Science Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Journal : Austronesian: Journal of Language Science

 1 
Use of Diction in Monster Inc Movie Antonio Constantino Soares; Rika Purnama Sari; I Gusti Ayu Agung Wira Premagitari
Austronesian: Journal of Language Science & Literature Vol. 1 No. 3 (2022): Austronesian: Journal of Language Science & Literature
Publisher : CV Wahana Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59011/austronesian.1.3.2022.103-118

Abstract

The research aims to describe the selection and use of vocabulary, the use of word morphological and syntactical aspects and the use of figurative language, especially the speech of the Monster Inc movie’s actors. This study used the descriptive qualitative method. The data was taken from the movie of Monster Inc. The data was analyzed based on Miles’ theory, namely data condensation, data display and drawing a conclusion. The results show that non-standard words, informal, showing stronger impressions, and emphasizing certain information tend to use in the movie. Morphologically aspect, words are used in the form of reduplication of words and phrases to emphasize what is being conveyed. Also, it was found that there is no affixation, reduplication, or compounding. Furthermore, syntactically aspect, most sentences are delivered in interrogative sentences, command clauses, complete sentences, exclamations, incomplete sentences, informative sentences, complete informational sentences, ungrammatical sentences, and complex sentences. The last figurative language used in several scenes is idiomatic phrases, metaphors, personification, and similes.
Investigating Hate Speech Comments: A Forensic Linguistic Study Sari, Rika Purnama; Anwar, Miftahulkhairah; Hakim, Muhammad Kamal bin Abdul
Austronesian: Journal of Language Science & Literature Vol. 4 No. 1 (2025): Austronesian: Journal of Language Science & Literature
Publisher : CV Wahana Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59011/austronesian.4.1.2025.47-64

Abstract

The meaning of hate speech in social media can shift because the way people use social media is constantly changing, and the social and political context in which social media is used can also change. This study aims to analyze hate speech comments on Instagram and the meaning and relevance of the implicature to forensic linguistics. This research employs a qualitative approach to collect and analyze the meaning of hate speech. The research data was obtained from Instagram through hashtag searches. The main findings of this study indicate that hate speech on social media tends to avoid direct vulgar linguistic forms and instead relies on implicit language strategies to convey negative sentiments towards individuals or groups. There is widespread use of diminutives such as “bocah” or “bocil,” social stigmatization such as “ndeso” and “bau kencur,” and institutional euphemisms such as “makkamah keluarga,” all of which are important linguistic indicators in the analysis of political hatred in the digital space. The intensity classification shows that hate speech with moderate and severe intensity does not only come from explicit insults but also from narratives that normalize harassment based on age, appearance, and political affiliation. The implications of this study indicate that a forensic linguistic approach is very effective in uncovering forms of hate speech disguised through language strategies such as sarcasm, stereotypes, and euphemisms. Theoretically, these findings enrich the study of pragmatic linguistics and speech acts by showing the importance of implicature analysis in detecting non-explicit hate intentions.
Investigating Hate Speech Comments: A Forensic Linguistic Study Sari, Rika Purnama; Anwar, Miftahulkhairah; Hakim, Muhammad Kamal bin Abdul
Austronesian: Journal of Language Science & Literature Vol. 4 No. 1 (2025): Austronesian: Journal of Language Science & Literature
Publisher : CV Wahana Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59011/austronesian.4.1.2025.47-64

Abstract

The meaning of hate speech in social media can shift because the way people use social media is constantly changing, and the social and political context in which social media is used can also change. This study aims to analyze hate speech comments on Instagram and the meaning and relevance of the implicature to forensic linguistics. This research employs a qualitative approach to collect and analyze the meaning of hate speech. The research data was obtained from Instagram through hashtag searches. The main findings of this study indicate that hate speech on social media tends to avoid direct vulgar linguistic forms and instead relies on implicit language strategies to convey negative sentiments towards individuals or groups. There is widespread use of diminutives such as “bocah” or “bocil,” social stigmatization such as “ndeso” and “bau kencur,” and institutional euphemisms such as “makkamah keluarga,” all of which are important linguistic indicators in the analysis of political hatred in the digital space. The intensity classification shows that hate speech with moderate and severe intensity does not only come from explicit insults but also from narratives that normalize harassment based on age, appearance, and political affiliation. The implications of this study indicate that a forensic linguistic approach is very effective in uncovering forms of hate speech disguised through language strategies such as sarcasm, stereotypes, and euphemisms. Theoretically, these findings enrich the study of pragmatic linguistics and speech acts by showing the importance of implicature analysis in detecting non-explicit hate intentions.
Co-Authors Aan, Wiliiam Amrina Rosyada Andini, Meliana Antonio Constantino Soares Erna Irawan, Erna Hesti Asriwandari Hudzaifah Al Fatih I Gusti Ayu Agung Wira Premagitari Irawan, Angga Jesinta, Fetrina Marisa Marisa Miftahulkhairah Anwar Muhammad Kamal Bin Abdul Hakim Paulina, Yanti Riwayati, Selvi Saputri, Rizki Aprilia Sari, Yuniar Pusvita Siti Fatimah Situmorang, Anggita Mifrenda Tambun, Madschen Sia Mei Ol Siska Selvija Tambun