Responsive Banner

The phenomenon of social interaction in Arabic language content on TikTok: A netnography study

Mustofa, Syaiful, Faisol, Faisol ORCID: https://orcid.org/0009-0005-7671-5699, Asrofik, Asrofik, Ramadhani, Nida Husnia and Mulyani, Rinda Eka (2025) The phenomenon of social interaction in Arabic language content on TikTok: A netnography study. Arabi : Journal of Arabic Studies, 10 (2). pp. 185-197. ISSN 2548-6616

[img]
Preview
Text
27851.pdf - Published Version
Available under License Creative Commons Attribution Share Alike.

Download (757kB) | Preview

Abstract

Language is reflection of culture. With advancement of technology, interactions not limited to face-to-face communication but also occur online, creating a digital environment. This study aims to explore how netizen interactions (man-to-man) on TikTok shape public perceptions of Arabic language through cultural dimensions, as well as how social media algorithms contribute to the formation of these perceptions (man-to-machine). Using a qualitative critical analysis approach with netnography method, the study examines interactions among netizens in comment sections, revealing two main cultural perspectives: Arabic as a religious language and as a poetic language. NLP-based sentiment analysis shows that Arabic is valued not only for its religious function but also for its beauty. Moreover, human machine interactions via algorithms influence content exposure and shape public perceptions. The findings highlight that public opinion about language is constructed through both social interactions and algorithmic mechanisms, expanding understanding of relationship between language, culture, and media.

Item Type: Journal Article
Additional Information: 085755280285
Keywords: arabic language; netnography; social interaction; culture
Subjects: 20 LANGUAGE, COMMUNICATION AND CULTURE > 2004 Linguistics > 200401 Applied Linguistics and Educational Linguistics
Divisions: Faculty of Economics > Department of Management
Depositing User: Faisol Faisol
Date Deposited: 13 Jul 2026 09:21

Downloads

Downloads per month over past year

Origin of downloads

Actions (login required)

View Item View Item