A Deep Study on Offensive Content Detection in Code-Mix Malayalam Language

DOI

10.2991/978-2-38476-618-5_11How to use a DOI?

Keywords

Code-mixing; Malayalam-English; Offensive Language Detection; Social Media; Natural Language Processing (NLP)

Abstract

Code-mixed languages are among the many user-generated communication techniques that have emerged as a result of social media’s exponential expansion. In informal situations, the blending of two or more languages - code-mixing - has become an accepted practice in online communication. The use of abusive language in code-mixed text has increased in tandem with this trend, posing difficulties for maintaining inclusive and safe online spaces. Because regional and under-resourced languages frequently lack the resources and methods available for high-resource languages, it is especially important to identify objectionable idioms in these languages. One such instance is Malayalam, a Dravidian language, extensively spoken in India. Malayalam and English are often combined on social media sites to create code-mixed text that is widely utilized for communication across various user communities. However, because of dialect variations based on location, transliteration, spelling variation, trend-based variations, informal grammar, and the dynamic nature of online speech, identifying objectionable language in this context is more difficult than in monolingual literature. Robust techniques that can accurately predict the language and cultural subtleties of code-mixed information are needed to address these issues. In addition to analyzing current approaches, algorithms, strategies, and frameworks used in this developing field of study, this paper offers detailed study on Offensive language detection in Malayalam-English code-mixed social media. The paper acknowledges limits and emphasizes recent developments. In wider terms, the goal of this research is to explore and create useful applications in fields including cyber safety, content moderation, and the encouragement of positive online communication.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - P. Adolf
AU  - V. Vijayakumar
PY  - 2026
DA  - 2026/10/06
TI  - A Deep Study on Offensive Content Detection in Code-Mix Malayalam Language
BT  - Proceedings of the 18th National IQAC Conference (ICon 2026)
PB  - Atlantis Press
SP  - 118
EP  - 131
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-618-5_11
DO  - 10.2991/978-2-38476-618-5_11
ID  - Adolf2026
ER  -