TRACKING LINGUISTIC CHANGE IN INSTAGRAM YOUTH LANGUAGE VIA AN AUTOMATED CORPUS DASHBOARD FOR FREQUENCY SHIFTS AND NEOLOGISM DETECTION

Authors

  • Dr. Jahanzeb Jahan Department of English, University of Education, Lahore
  • Shahbaz Hassan Wasti Department of Information Sciences, Division of Science and Technology, University of Education, Lahore
  • Ghulam Jillani Ansari Department of Information Sciences, Division of Science and Technology, University of Education, Lahore

DOI:

https://doi.org/10.63468/sshrr.264

Keywords:

Instagram, Language Change, Neologism, Social media

Abstract

English has confronted a steady variation since its initiation. Apart from other variations, semantic change is fairly noticeable. This study examines the semantic variations in English language and likewise highlights the position of social media such as Instagram in semantic change which is an outcome of language contact. Concentrating on neologisms employed in social media, the current study focuses on a sequence of words and their connotations as used on Instagram. Instagram is a prevalent social media/ messenger which has overall provided innovative terminologies and changed meanings of various traditional English words. To analyses neologisms in Instagram, a corpus was formed comprising posts of Instagram. Python and its natural language processing libraries were used to automatically extract and pre-process the Instagram captions for annotation The most prevalent expressions used on Instagram were examined to identify whether and to what degree Instagram users are developing novel meanings of traditional English words. The study unveils that social media language has given rise to innovative expressions and change of the meanings of traditional English words.

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Published

2025-10-02

Issue

Section

Articles

How to Cite

Dr. Jahanzeb Jahan, Shahbaz Hassan Wasti, & Ghulam Jillani Ansari. (2025). TRACKING LINGUISTIC CHANGE IN INSTAGRAM YOUTH LANGUAGE VIA AN AUTOMATED CORPUS DASHBOARD FOR FREQUENCY SHIFTS AND NEOLOGISM DETECTION. Social Sciences & Humanity Research Review, 3(4). https://doi.org/10.63468/sshrr.264

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