UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 12 | December 2025

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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2308011


Registration ID:
522575

Page Number

a65-a73

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Title

DECODING LINGUISTIC BLENDS: A Semantic Analysis of Code Switching and Code Mixing by Arabic Speakers on LinkedIn

Abstract

This review paper aims to provide a comprehensive analysis of code-switching and code-mixing practices among Arabic speakers on LinkedIn with an emphasis on their semantic ramifications. In the world of online social networking, code-switching and code-mixing are common occurrences that provide a special platform for people to traverse their many language and cultural identities. This paper also aims to identify the sociolinguistic and linguistic elements that underlie code-switching and code-mixing on this professional networking platform through an extensive literature review and analysis of Arabic-speaking LinkedIn users . Drawing on sociolinguistic theories and code switching models, the study investigates the reasons and patterns of code switching occurrences by Arabic speakers on LinkedIn. The study reveals that Arabic speakers LinkedIn communication involves code switching due to several factors which includes professional networking, cultural identity, language proficiency, authenticity and trust, local expertise, bridging the language gap and social networking norms.

Key Words

code switching, code mixing, Arabic speakers, LinkedIn, semantic analysis

Cite This Article

"DECODING LINGUISTIC BLENDS: A Semantic Analysis of Code Switching and Code Mixing by Arabic Speakers on LinkedIn", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.a65-a73, August-2023, Available :http://www.jetir.org/papers/JETIR2308011.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DECODING LINGUISTIC BLENDS: A Semantic Analysis of Code Switching and Code Mixing by Arabic Speakers on LinkedIn", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppa65-a73, August-2023, Available at : http://www.jetir.org/papers/JETIR2308011.pdf

Publication Details

Published Paper ID: JETIR2308011
Registration ID: 522575
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: a65-a73
Country: post. Jamia Nagar, new delhi, India .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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