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June 3, 20260 citationsOpen Access

Semantic Shifts in Social Network Lexicon: A Comparative Study of English and Uzbek

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SNSitora Normurodova

Key Points

  • This study aims to identify and classify semantic changes in social media lexicons of English and Uzbek.
  • Utilized a multi-platform corpus spanning Instagram, Facebook, Telegram, and TikTok from 2024 to 2026.
  • Classified dominant semantic processes: narrowing, broadening, functional reinterpretation, and specialization.
  • Examined how English meanings transform when entering the Uzbek lexicon.
  • English is the primary driver of semantic innovation in social networks.
  • Uzbek significantly re-semantises English-derived terms through morphological integration.
  • Semantic change is influenced by platform context, with distinct meanings emerging on different platforms.

Abstract

Social media platforms have accelerated semantic change in both English and Uzbek. This study identifies and classifies dominant semantic processes—narrowing, broadening, functional reinterpretation, and platform-specific specialisation—in social network lexicon, and maps how English-derived meanings are reproduced or transformed as they enter Uzbek. A multi-platform corpus (Instagram, Facebook, Telegram, TikTok; 2024–2026) forms the empirical base. Results show that English drives primary semantic innovation while Uzbek actively re-semantises incoming units through morphological integration and native-form competition. Platform context is decisive: the same formal unit may carry distinct dominant senses across platforms, and semantic change is bidirectional.

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Sitora Normurodova (2026) studied this question.

synapsesocial.com/papers/6a1fc42cdee9eb8c0dce5c46https://doi.org/10.5281/zenodo.20487285
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