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All Journal Jurnal Masyarakat Indonesia International Journal of Economic, Technology and Social Sciences (Injects)
Istu Sri Poneni
Universitas Islam Sumatera Utara
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PENINGKATAN KESANTUNAN BERBAHASA INGGRIS DALAM KOMUNIKASI DARING MELALUI PELATIHAN LITERASI BAHASA BAGI MAHASISWA Istu Sri Poneni
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 03 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v4i03.334

Abstract

The rapid growth of online communication among university students has significantly increased the use of English in digital interactions. However, improper language use, lack of politeness strategies, and limited pragmatic awareness often lead to miscommunication and reduced effectiveness in online discourse. This community service program aims to enhance students’ politeness in English online communication through structured language literacy training. The program was implemented using a participatory approach, including socialization sessions, interactive workshops, practical exercises, and guided practice in real online communication contexts. The training focused on politeness strategies, appropriate language use in digital platforms, and awareness of cultural and pragmatic aspects of English communication. The results indicate an improvement in students’ understanding of polite language expressions, increased awareness of digital communication ethics, and enhanced ability to apply polite English in online interactions. This program contributes to fostering respectful, effective, and ethical online communication among students and supports the development of digital literacy in higher education.
An Analysis Of Linguistic Politeness Strategies In Online Academic Communication Istu Sri Poneni
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 6 No. 1 (2025): Mei 2025
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53695/injects.v6i1.1541

Abstract

The rapid development of digital communication platforms has significantly transformed academic interaction, particularly in online learning and scholarly discourse. In online academic communication, linguistic politeness plays a crucial role in maintaining respectful interactions, minimizing misunderstandings, and fostering effective collaboration among participants. This study aims to analyze the types and functions of linguistic politeness strategies employed in online academic communication contexts, including virtual classrooms, academic discussion forums, and institutional communication platforms. Using a qualitative descriptive approach, data were collected from online academic interactions involving students and lecturers, such as discussion posts, chat messages, and email communications. The analysis is grounded in politeness theory, focusing on strategies such as positive politeness, negative politeness, bald-on-record, and off-record expressions. The findings indicate that positive politeness strategies are most frequently used to build rapport and solidarity, while negative politeness strategies are commonly applied to show respect and mitigate imposition in formal academic settings. However, instances of impoliteness and pragmatic failure were also identified, often caused by limited pragmatic awareness and the absence of non-verbal cues in online communication. The study highlights the importance of developing pragmatic competence and digital communication literacy among academic community members. It is expected that the findings will contribute to improving the quality of online academic communication by promoting awareness of appropriate linguistic politeness strategies in digital academic environments.
Topic Modeling For Analyzing Language Patterns In Online Texts Istu Sri Poneni
International Journal of Economic, Technology and Social Sciences (Injects) Vol. 6 No. 2 (2025): October 2025
Publisher : CERED Indonesia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53695/injects.v6i2.1542

Abstract

The rapid growth of digital communication has led to the generation of vast amounts of textual data in online platforms, ranging from social media to academic forums. Understanding language patterns within these texts is essential for insights into user behavior, sentiment, and communication trends. This study applies topic modeling techniques, particularly Latent Dirichlet Allocation (LDA), to analyze language patterns in online texts. The approach enables the identification of dominant topics, trends, and semantic relationships among words in large text corpora. Data were collected from multiple online platforms, preprocessed for cleaning and normalization, and analyzed using Python-based topic modeling tools. The results demonstrate the effectiveness of topic modeling in revealing underlying themes and patterns, providing valuable insights for researchers, educators, and platform administrators to better understand digital communication behaviors. This research contributes to the field of computational linguistics by offering a scalable methodology for automated analysis of large-scale online textual data.
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