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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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SOCIAL NETWORKS AS A DRIVING FORCE IN LANGUAGE CHANGE: A STUDY OF UZBEK AND ENGLISH

Authors: Abdullaev Shahobiddin Abduali ugli;

SOCIAL NETWORKS AS A DRIVING FORCE IN LANGUAGE CHANGE: A STUDY OF UZBEK AND ENGLISH

Abstract

This article explores the role of social networks as a key driver of language change in both Uzbek and English. The study highlights how digital platforms influence vocabulary expansion, phraseology, and communicative styles, leading to rapid linguistic innovations. Findings indicate that social media fosters both opportunities and challenges for language development, affecting oral, written, and digital communication. The research provides insights into the pedagogical and linguistic implications of integrating social media into language learning and communication strategies.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average