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Exploring the Impact of AI Technology Addiction on Stress, Anxiety, and Depression in Adolescents Cindy Claudia Br Nadeak; Nurjasni Nurjasni; Helda Handayani Hia; Nurhikmah Siagian; Jesika Pionauli Sitorus; Atika Anjani; Syamsul Bahri
Jurnal Riset Rumpun Ilmu Bahasa Vol. 4 No. 3 (2025): Desember : Jurnal Riset Rumpun Ilmu Bahasa
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurribah.v4i3.6952

Abstract

The rapid development of Artificial Intelligence (AI) has made it a part of the teens' routine, but the intensity of its use raises concerns about mental health. This study aims to analyze the pattern of AI utilization and its impact on stress, anxiety, and depression in students of St. Petrus Medan High School using the framework of Self-Determination Theory (SDT), namely competence, autonomy, and connectedness). The research was conducted with a quantitative approach through a survey of 64 students using a total sampling technique, equipped with focused group discussions (FGDs) and literature review. The results show that more than 70% of students use AI on a regular basis, mainly through chatbots (81%) and social media (73%). Some students (35.9%) also use AI as a means of venting. Although 85.9% of respondents found AI to be helpful, the majority (59.3%) reported feeling inferior as a result of comparing themselves to AI results. These findings reveal a psychological paradox, where AI is perceived as a solution as well as a source of pressure. This condition has the potential to trigger stress and anxiety, although depressive symptoms do not yet appear to be dominant. This research emphasizes the importance of healthy digital literacy as well as mentoring from schools and parents to reduce the risk of AI addiction and maintain adolescent mental well-being.
Dysphemism as a Language Strategy for Expressing Emotional Intensity in Sabrina Carpenter’s Man’s Best Friend Album Ruth Manurung; Cindy C. Nadeak; Helda H. Hia; Jesika P. Sitorus; Nurjasni Nurjasni; Meisuri Meisuri
Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris Vol. 4 No. 3 (2026): Sintaksis : Publikasi Para ahli Bahasa dan Sastra Inggris
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/sintaksis.v4i3.2628

Abstract

This study examines the use of dysphemistic language in selected songs from Sabrina Carpenter’s Man’s Best Friend album. The research aims to identify the dysphemistic expressions found in the lyrics and to analyze how these expressions are linguistically constructed to convey emotional intensity and communicative meaning. The study applies a qualitative descriptive approach. The data consist of dysphemistic expressions collected from the selected song lyrics and classified according to the dysphemism categories proposed by Keith Allan and Kate Burridge. The analysis focuses on identifying the types of dysphemism and examining their function as a language strategy within the lyrical context. The findings indicate that dysphemistic expressions appear consistently in the lyrics and contribute to the expression of emotional tension and interpersonal conflict. These expressions also function as a stylistic device that shapes the tone and communicative impact of the songs. The study highlights the role of dysphemistic language as part of the expressive and stylistic resources used in contemporary pop music lyrics.
The Nonstandard Language Variation in Instagram Headlines of @folkative Anastasya B W Nadeak; Cindy C Nadeak; Helda H Hia; Jesika P Sitorus; Meisuri Meisuri; Nurjasni Nurjasni; Ruth Manurung
Dinamika Pembelajaran : Jurnal Pendidikan dan bahasa Vol. 2 No. 4 (2025): November : Dinamika Pembelajaran : Jurnal Pendidikan dan Bahasa
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/dilan.v2i4.2421

Abstract

This study investigates the occurrence and functions of nonstandard language variation in Instagram headlines posted by @folkative, a popular digital media account known for its creative use of informal language. Despite the growing attention to social media discourse, little research has focused on how nonstandard forms operate in short, attention-grabbing digital headlines. Guided by Labov’s (1972) variationist sociolinguistic framework, this study employs a descriptive qualitative method complemented by simple quantification. The data consist of headlines uploaded by @folkative throughout September 2025. The analysis reveals four main types of nonstandard variation: code-mixing, nonstandard spelling, colloquial expressions, and lexical innovation. Among these, code-mixing appears most frequently (33.93%). The use of nonstandard language is not arbitrary but rather reflects deliberate stylistic and social choices. These variations serve several communicative and pragmatic functions, including attracting readers’ attention, conveying humor, saving space within limited character counts, expressing solidarity with followers, and constructing a modern, cosmopolitan online identity. The findings demonstrate that nonstandard language in Instagram headlines contributes to meaning-making and audience engagement, showing how Indonesian users creatively manipulate linguistic resources to suit digital communication norms.