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p-Index From 2020 - 2025
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All Journal Literacy : International Scientific Journals of Social, Education, Humanities An International Journal Tourism and Community Review
Nicolas Kevin Sulityawardhana
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Humanities Decision Sciences, Operations Research & Management Education Social Sciences

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Digital Discourse Transformation: Analysis of Neutral Discussion Escalation into SARA Debates on Indonesian Social Media Platforms Bayu Ade Prabowo; Tri Maryani; Wida Mulyani; Nicolas Kevin Sulityawardhana
LITERACY : International Scientific Journals of Social, Education, Humanities Vol. 4 No. 2 (2025): August : International Scientific Journals of Social, Education, Humanities
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/literacy.v4i2.2464

Abstract

The digital era has fundamentally transformed public communication in Indonesia, presenting critical challenges through the escalation of neutral discussions into debates based on Ethnicity, Religion, Race, and Intergroup Relations (SARA) on social media platforms. This research aims to identify linguistic and interactional patterns that serve as markers of discourse transformation, analyze the role of platform algorithms in accelerating escalation, compare escalation characteristics across X, Threads, Instagram, and TikTok platforms, and develop predictive models for early detection of identity-based discourse escalation. The study employs a mixed-methods design with Digital Critical Discourse Analysis framework, integrating Social Network Analysis and controlled digital experiments. Data collection involved 1,247 discussion threads across four platforms and 28 in-depth interviews using stratified purposive sampling and maximum variation sampling. Analysis utilized statistical testing, machine learning pipeline with BERT-based models, and thematic analysis with inter-rater reliability ≥0.80. Results revealed four distinct transformation phases characterized by decreasing lexical diversity (TTR 0.67 to 0.29), increasing negative sentiment (0.12 to -0.73), and network fragmentation (density 0.34 to 0.12). The developed Transformative Discourse Model achieved 89.7% accuracy in predicting escalation events with 4-14 hours early detection capability. Platform-specific analysis showed TikTok as fastest escalation (14.2 hours) and Threads as slowest (31.8 hours). The research contributes Indonesian Digital Discourse Corpus, cross-platform comparative framework, and evidence-based intervention protocols, supporting digital literacy strengthening and radicalism prevention in Indonesian cyberspace.
Improving Digital Literacy and Indonesian Language for the Indonesian Community in Malaysia Enik Rahayu; Hendrajaya Hendrajaya; C. Susmono Widagdo; Henry Yuliamir; Nicolas Kevin Sulityawardhana; Anisa Eka Khatarina
An International Journal Tourism and Community Review Vol. 2 No. 3 (2025): September : An International Journal Tourism and Community Review
Publisher : Akademi Kesejahteraan Sosial Ibu Kartini Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69697/tourcom.v2i3.300

Abstract

This study focuses on improving digital literacy and formal Indonesian language proficiency among the Indonesian diaspora community in Kampung Baru, Kuala Lumpur, Malaysia. The community faces challenges in adapting to digital technology and maintaining linguistic and cultural identity, which limits their socio-economic participation and engagement in community activities. The objective of this research is to develop and implement a community-based program that enhances digital skills while promoting national language usage and cultural preservation. The program employed a participatory and interactive approach, including workshops, hands-on practice, mentoring, role-play, and storytelling, targeting 30 participants comprising youth, MSME actors, teachers, village officials, and housewives. Pre-test and post-test evaluations, direct observation, and interviews were used to assess the impact of the program. The results show significant improvements in digital literacy, with participants demonstrating enhanced skills in e-mail usage, document sharing, e-wallet applications, and digital security awareness, with post-test gains ranging from 40% to 45%. Likewise, proficiency in formal Indonesian language, public speaking, and cultural knowledge increased by 25% to 28%, reflecting both technical and cultural skill development. The findings indicate that community-based, participatory learning integrated with cultural reinforcement effectively bridges the digital divide and strengthens linguistic identity among diaspora communities. The study concludes that such a hybrid model not only empowers participants in digital and linguistic capacities but also promotes cultural sustainability and social cohesion, offering a scalable and replicable framework for similar communities.
Co-Authors Anisa Eka Khatarina Bayu Ade Prabowo C. Susmono Widagdo Enik Rahayu Hendrajaya Hendrajaya Tri Maryani Wida Mulyani Yuliamir, Henry