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Muhammad Aridan
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Language, Technology, and Social Media
Published by WISE Pendidikan Indonesia
ISSN : -     EISSN : 30267196     DOI : https://doi.org/10.70211/ltsm
Core Subject : Humanities, Education, Social,
Humanities Education Languange, Linguistic, Communication & Media Social Sciences
Language Technology and Social Media is a peer-reviewed journal dedicated to the publication of high-quality research findings in the field of language technology and social media without implicit limitations. All publications in Language Technology and Social Media are freely accessible enabling articles to be available online without any subscription. Language Technology and Social Media is an open access journal fully referenced exclusively published online since 2023. The journal is issued two times a year. The purpose of this journal is to disseminate research results to educators researchers and practitioners in the language field concerning issues related to technology and language education. The focus of Language Technology and Social Media goes beyond technology itself rather it centers on matters concerning language learning language teaching and how these aspects are influenced or enhanced by the use of digital technology and social media. Language Technology and Social Media is overseen by an editorial board comprising experts in the fields of language technology and social media studies. Language Technology and Social Media is professionally managed by Wise Pendidikan Indonesia to assist academics researchers and practitioners in disseminating their research results. Language Technology and Social Media has been an academic platform for authors editors and reviewers from many countries. The editorial team of the journal is committed to maintain the geographical diversity of contributors to enhance the journals quality.
Arjuna Subject : Seni dan Humaniora - Bahasa dan Linguistik
Articles 45 Documents
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The Price of Fame on X: A Systematic Review of Social and Cultural Consequences of Cyberbullying of Celebrities on X Motshware, Portia; Francke, Errol; Makwambeni, Blessing
Language, Technology, and Social Media Vol. 3 No. 2 (2025): December 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i2.226

Abstract

This systematic review examines the socio-cultural consequences of cyberbullying targeting celebrities on X, addressing a gap in current research. The increasing prevalence of cyberbullying in the digital era, especially on social media platforms like X, has significant implications for public figures. The review synthesizes findings from 23 peer-reviewed studies published between 2020 and 2025, following the PRISMA framework and employing thematic analysis using Atlas.ti. The research identifies the psychological, personal, and professional impacts of cyberbullying on celebrities, particularly focusing on how the platform's design, including features such as anonymity and rapid information dissemination, exacerbates harmful behaviors. The findings highlight the critical role that X's structure plays in amplifying cyberbullying, with negative consequences such as anxiety, depression, and social isolation for victims. Additionally, the review reveals how celebrities' public personas and constant exposure to online criticism significantly affect their mental health and professional lives. The study also discusses the broader socio-cultural implications, including the normalization of hostility and the public's complex responses to celebrities' victimization. Based on these insights, the review recommends stricter platform regulations and increased support for affected individuals, including the involvement of celebrity managers and healthcare professionals. This research contributes to the understanding of cyberbullying's socio-cultural dynamics on X, offering new perspectives on how digital abuse affects public figures and emphasizing the need for safer online spaces.
Advances and Challenges in Artificial Intelligence and Machine Learning for Multilingual Speech Disorder Diagnosis and Therapy: An Integrative Review Mukhdoom, Husnain; S.R. Rajkumar
Language, Technology, and Social Media Vol. 3 No. 2 (2025): December 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i2.229

Abstract

This study examines the role of Artificial Intelligence (AI) and Machine Learning (ML) in the diagnosis, assessment, and management of speech disorders, focusing on enhancing clinical practices. A comprehensive review of existing studies was conducted, highlighting the application of AI technologies such as Automated Speech Recognition (ASR), Natural Language Processing (NLP), and deep learning models, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). The findings reveal that AI and ML techniques have significantly improved diagnostic precision, therapeutic interventions, and clinical efficiency, especially in underserved populations. However, challenges related to limited multilingual datasets, model generalizability, and the interpretability of deep learning models were identified. Despite the promising advancements, challenges such as data privacy, model bias, and ethical concerns need to be addressed for broader clinical integration. This study contributes by synthesizing current AI and ML applications in speech disorder management, identifying key challenges, and proposing future directions, including the development of multilingual datasets, Explainable AI (XAI), and the integration of multimodal data to further enhance diagnostic and therapeutic outcomes.
Mapping The Ethical Discourse in Generative Artificial Intelligence: A Topic Modeling Analysis of Scholarly Communication P. Georgiou, Georgios
Language, Technology, and Social Media Vol. 3 No. 2 (2025): December 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i2.230

Abstract

As generative artificial intelligence (GenAI) continues to reshape numerous sectors, the ethical implications of its deployment have become a critical area of society. This study employs a topic modeling technique to systematically analyze a large corpus of peer-reviewed literature related to ethics in GenAI, aiming to uncover prevailing themes and conceptual patterns. Using a natural language processing method, the analysis identified ten distinct topics that were subsequently synthesized into six overarching macrotopics related to ethics in GenAI: (1) education and learning, (2) bias, frameworks, and legal compliance, (3) cybersecurity, governance, and risks, (4) social impact and sustainability, (5) digital transformation and emerging tech, and (6) academic research and writing. Each macrotopic is examined through the lens of existing scholarly literature, providing an overview of current debates in the area. The findings demonstrate the pressing need for comprehensive governance frameworks that prioritize transparency, fairness, and accountability in the development and deployment of GenAI systems. The relevance of the emerging macrotopics extends beyond technical or policy considerations, situating them within broader ethical discourse around language, communication, and media technologies, where questions of authorship, representation, and discursive power are increasingly mediated by GenAI. By mapping the evolving ethical landscape of GenAI, this study contributes to a more informed and critical understanding of how to align technological innovation with societal values and legal norms.
Key Topics and Case Studies in Pragmatics: Examples of Corpus-based Research Hawamdeh, Mohammad Amin; H. Al Aqqad, Mohammad; Mahamdeh, Ahmad Ali
Language, Technology, and Social Media Vol. 3 No. 2 (2025): December 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i2.233

Abstract

This study examines the reliability and applicability of corpus-based methods for investigating pragmatic phenomena, with a focus on the Arabic–English language pair. Three case studies are presented: (1) the conventionality of language in Quranic translations, (2) conversational implicature in sacred text dialogue, and (3) hedging strategies in political discourse. Adopting a qualitative case study design supported by corpus-driven analysis, the research integrates thematic interpretation with quantitative frequency data to uncover context-sensitive patterns in meaning construction. The findings demonstrate that operationalizing stylistic conventions in sacred texts enables replicable annotation frameworks for both translation studies and digital religious discourse; that implicature analysis can reveal culturally nuanced meaning negotiation relevant to online communication; and that hierarchical mapping of hedging functions provides a transferable model for monitoring rhetorical strategies in both traditional and digital political messaging. This integration advances corpus pragmatics beyond descriptive analysis toward predictive and comparative modeling, offering methodological and theoretical contributions applicable across multilingual, cross-cultural, and technology-mediated contexts. The study underscores the value of corpus-based pragmatics as a unifying framework for understanding language use in hybrid communicative environments, from religious translation platforms to social media political discourse.
Culture in Advertisements: A Discursive and Semiotic Analysis of Maestro Pizza Advertisements in Saudi Arabia Albogami, Hajer Mohammed; Alshurafa, Nuha; Elyas, Tariq; Alrawi, Maather
Language, Technology, and Social Media Vol. 3 No. 2 (2025): December 2025 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v3i2.271

Abstract

Advertisements have long been acknowledged not merely as tools for product promotion but as powerful cultural agents that reflect and shape societal values. This study critically examines the cultural and ideological underpinnings embedded in Maestro Pizza advertisements aired on Saudi National Days 88, 89, and 91. Employing Fairclough’s Critical Discourse Analysis (CDA) and Barthes’ Semiotic Theory, this research investigates twelve selected visual frames from three advertisements to uncover how Saudi cultural identities, historical figures, and social norms are represented. The findings highlight the prominence of cultural symbols such as national landmarks, historical narratives, and the evolving image of Saudi women, illustrating how these advertisements align with national ideologies and social conventions. This study underscores the significance of advertising as a medium for cultural transmission, offering new insights into how advertisements can reflect and perpetuate national identity in the context of Saudi Arabia. The implications of these findings contribute to the broader field of media studies and cultural representation in advertising.
Decoding Silence in Digital Cross-Cultural Communication: Overcoming Misunderstandings in Global Teams Hayati, Daryoosh; Sinha, Shriya
Language, Technology, and Social Media Vol. 2 No. 2 (2024): December 2024 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v2i2.60

Abstract

This study investigates the role of silence in digital cross-cultural communication, emphasizing its potential for misinterpretation due to cultural differences and the absence of non-verbal cues. Silence, often perceived differently across high- and low-context cultures, plays a crucial role in conveying emotions and intentions. In digital spaces, the lack of immediate feedback and non-verbal richness increases the complexity of silence interpretation. This research employs a comprehensive literature review to explore how silence is used in virtual communication platforms like Zoom and Slack and its impact on global teams. The study analyzes various existing research on silence in intercultural communication and digital communication tools. Key findings reveal that silence in high-context cultures, such as Japan and China, is seen as reflective and respectful, while in low-context cultures like the United States, it is often interpreted negatively, leading to miscommunication. Furthermore, the absence of non-verbal cues in digital environments exacerbates these misunderstandings. The study also explores the potential of emerging technologies like artificial intelligence (AI) to mitigate these communication barriers by detecting and interpreting silence more effectively. The results underscore the need for cultural sensitivity in virtual teams and highlight the limitations of current AI tools in understanding cultural nuances. This research contributes to the ongoing discourse on improving intercultural communication in digital settings, offering practical implications for global teams and suggesting future directions for AI integration in digital communication platforms.
How Do Trauma and Identity Unfold Through Dialogue? A Psychoanalytic and Linguistic Analysis of Netflix's Slasher Solstice Nadeem, Fajar; Jamil Ghouri, Seemab
Language, Technology, and Social Media Vol. 2 No. 2 (2024): December 2024 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v2i2.64

Abstract

This study aims to explore the relationship between trauma, desire, and identity through language patterns in the Netflix series Slasher: Solstice. Using a psychoanalytic and linguistic analysis approach, the research delves into how characters' dialogues and speech styles reflect their psychological states, particularly in confronting past traumas. The study employs a qualitative method with observational analysis of the interactions and dialogues of the main characters within the series. The results reveal that speech patterns, word choice, and intonation provide deep insights into the characters' psychological conditions. For instance, the character Connor displays aggressive and fragmented speech patterns as a defense mechanism against trauma, while the character Sadia exhibits emotional control through structured and formal language. This research offers a new perspective by combining psychoanalytic and linguistic approaches to understand character development within the horror genre. The analysis reveals that shifts in language style, as the narrative unfolds, indicate a transformation in the characters' identities, increasingly shaped by trauma and internal conflict.
Challenges and Strategies in Translating English Collocations into Kurdish: A Linguistic Approach Hama Amin, Zana
Language, Technology, and Social Media Vol. 1 No. 2 (2023): December 2023 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v1i2.67

Abstract

Collocation is a combination of two or more words which always arbitrarily come together in different contexts in language. This research deals with the translation of English collocations into Kurdish. The aim of this study is to introduce those problems that Kurdish students encounter when they translate English collocations into Kurdish and then how to solve them. This paper is divided into two main sections. The first section discusses categorizations of collocation and its translation into Kurdish: problems and solutions. In the second section, there is an empirical study to hypothesize that Kurdish students face difficulties in translating English collocations into Kurdish. This research uses qualitative and quantitative methods. The test involves twenty students of fourth year in the Department of English-College of Languages-University of Sulaimani. The results of the test come up with the hypothesis of the study.
Integrating Training Pills and Flipped Classroom Model to Enhance B2-Level Writing Skills in EFL Learners: A Quasi-Experimental Study Felix Martinez, Jose Maria; Safeer, Nadia; Choudhry, Lubna; H. Alaqad, Mohammed
Language, Technology, and Social Media Vol. 2 No. 2 (2024): December 2024 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v2i2.68

Abstract

Writing proficiency, especially at the B2 level in English as a Foreign Language (EFL), poses challenges for learners, necessitating mastery of various competencies, including linguistic accuracy and content organization. This study investigates the effectiveness of integrating "training pills" into the Flipped Classroom model to enhance B2-level writing skills. The research adopts a quasi-experimental design conducted over two academic years (2020-2022) in Seville, Spain. The sample consists of 120 high school students, with the experimental group using training pills (short audiovisual lessons), while the control group follows traditional instruction. Pre- and post-tests measured the improvement in writing skills, supplemented by questionnaires assessing satisfaction and engagement. Quantitative data analysis revealed that the experimental group improved by 34.4%, significantly outperforming the control group (11.8%). Qualitative feedback highlighted the accessibility and engagement benefits of the training pills, particularly their role in improving students' organizational and communicative success in writing. The study concludes that training pills, when integrated into a Flipped Classroom model, effectively enhance B2 writing acquisition by providing flexible and self-paced learning opportunities. These findings have significant implications for technology-enhanced learning and offer practical insights for educators seeking to optimize writing instruction for EFL learners.
Consonantal Variation of Hindi-Urdu Loanwords in Standard English: A Phonological Analysis Khan, Bairam; Asad, Mohammad; Zahid, Mahboob
Language, Technology, and Social Media Vol. 2 No. 2 (2024): December 2024 | Language, Technology, and Social Media
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/ltsm.v2i2.77

Abstract

This study explores the complex phonological transformations involved in adapting Hindi-Urdu loanwords into Standard English. Examining a corpus of approximately 300 loanwords, this research identifies systematic phonological changessuch as deaspiration, devoicing, deretroflexion, and deuvularizationthat align these borrowed words with English phonotactic norms. For instance, Hindi-Urdu aspirated sounds typically lose aspiration in English, while retroflex consonants shift to alveolar positions, reflecting the structural requirements of English phonology. These transformations underscore the adaptability of Hindi-Urdu phonemes in response to English phonetic constraints, facilitating smoother integration into the English sound system. Additionally, deviations from expected patterns, or “misiterations,”reveal the influence of perceptual and sociolinguistic factors that add complexity to the adaptation process. By focusing on consonantal changes specifically, this study fills a gap in the literature on phonological adaptation in cross-linguistic contexts, particularly between Indo-Aryan and Germaniclanguages. The findings provide a detailed view of consonantaladjustmentsthat occur in loanwords, enhancing our understanding of language contact dynamics. This research also suggests new interdisciplinary avenues for exploring phonological adaptation by incorporating cognitive and sociolinguistic perspectives to further analyze the complexities of loanword integration.

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