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Discovering the power of Discord: Members’ experiences and their performances in learning English Sufi, M. Iqbal Farabi; Afrida, Nina; Meutia, Cut Intan; Daulay, Sholihatul Hamidah
Journal of Research on English and Language Learning (J-REaLL) Vol. 5 No. 2 (2024): Journal of Research on English and Language Learning (J-REaLL)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/j-reall.v5i2.21943

Abstract

Discord has experienced a recent surge in its utilization for educational purposes. Numerous communities have embraced Discord servers as a means to foster and support learning activities. Many studies discuss Discord in learning English, but there is a lack of extensive academic research focusing on a member’s experiences in using Discord. Most studies on broader online language learning communities and other digital platforms, but only a few studies investigate Discord application from an overview of this phenomenon, this study aimed to determine how the members’ experience in using the Discord application as contributed to facilitating English learning and to describe the performances of Discord in fostering English. a qualitative method with a phenomenological study applied in this research. twenty members who have been using Discord for a year and more than a year and are interested in learning English became the sample by purposive random sampling. Data was gathered from unstructured interviews and participant observation online. The results from the observation demonstrated that the efficacy of Discord can be seen from the function of features, it supports English online learning through seven crucial features that users can leverage: voice channels, text channels, direct messages, screen sharing, resource sharing, bot integrations, and notifications and reminders. Data from the interview showed members’ experiences said Discord can help them in mastering English. As a result, the implications of the research can guide the development of more effective, engaging, and inclusive Discord-based learning communities, ultimately enhancing the overall learning experience and outcomes for participants.
The Performance of OpenL as an AI Recognition of Interdental Fricatives [θ] and [ð] in Indonesian-Accented English Sufi, M. Iqbal Farabi; Tengku Syarfina
Journal of Applied Linguistics Vol. 5 No. 2 (2026): January 2026
Publisher : English Lecturers and Teachers Association (ELTA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/joal.v5i2.608

Abstract

This study investigates how Artificial Intelligence (AI) systems recognize the English interdental fricatives /θ/ and /ð/ in Indonesian-accented speech. Because these sounds are absent from the Indonesian phonological inventory, Indonesian learners often experience difficulty producing them, which may affect intelligibility and AI recognition. Using a qualitative phonetic analysis with AI-based comparison, speech data from six Indonesian learners of English and one native speaker were collected. The recordings were analyzed using Praat to examine acoustic characteristics and OpenL to generate speech-to-IPA transcriptions. The results show that many learner productions lacked sustained fricative turbulence, indicating non-target realizations of interdental fricatives. OpenL generally reflected these acoustic deviations rather than producing canonical forms, suggesting limited sensitivity to subtle fricative cues. Overall, the findings reveal an intersection between human phonetic challenges and technological limitations in current ASR systems, highlighting the need for accent-inclusive training data and focused pronunciation instruction to improve both intelligibility and AI speech recognition performance. Keywords : Interdental fricatives; Indonesian-accented English; OpenL
Presupposition in Political Memes: A Cyber-Pragmatic Approach to Indonesian Politics Sufi, M. Iqbal Farabi; Putri, Dian Marisha
SIGEH ELT : Journal of Literature and Linguistics Vol 6, No 1 (2026)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/sigeh.v6i1.4512

Abstract

Despite the growing use of internet memes in political discourse on social media, the pragmatic mechanisms through which they construct implicit meaning remain insufficiently explored, particularly in the context of presupposition. While existing studies have examined memes as forms of digital culture, rhetoric, or discourse, limited attention has been given to how presupposition functions as a strategy for embedding ideological assumptions in political memes. This study aims to examine the use of presupposition in Indonesian political memes and to analyze how these presuppositions function as pragmatic strategies for conveying implicit political critique in digital discourse. The research employs a qualitative descriptive method to analyze six political memes collected from Facebook, Instagram, and WhatsApp through purposive sampling based on their political relevance and multimodal characteristics. Data were collected using a documentary method and analyzed using Yule’s (1996) presupposition typology, Yus’s (2011) cyber-pragmatic framework, and Fairclough’s (2013) discourse perspective. The findings reveal that existential, lexical, structural, and counterfactual presuppositions are used to encode implicit assumptions about political actors, institutions, and events. These presuppositions rely on shared background knowledge, enabling meme creators to express satire and ideological critique indirectly. The study concludes that presupposition functions as an important pragmatic mechanism that allows political memes to communicate criticism and ideological positioning within Indonesia’s digital public sphere. This study contributes to the field of digital pragmatics by highlighting presupposition as a key analytical lens for understanding how implicit meaning and ideology are constructed in multimodal political communication on social media.