Authorship attribution, idiolectal style, and online identity

A specialised corpus of Najdi Arabic Tweets

Authors

  • Mashael AlAmr King Saud University

DOI:

https://doi.org/10.1558/ijsll.27343

Keywords:

authorship analysis, forensic linguistics, corpus linguistics, online identity, computer-mediated discourse analysis (CMDA), machine learning

Abstract

Assistant Professor
Department of English Language
College of Language Sciences
King Saud University
Riyadh 11495 Kingdom of Saudi Arabia

Awarding Institution: University of Leeds, UK
Date of Award: 14 October 2022

Author Biography

  • Mashael AlAmr, King Saud University

    Mashael AlAmr is an assistant professor at the department of English Language, College of Language Sciences at King Saud University.

References

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Published

2024-09-03

Issue

Section

Thesis Abstracts

How to Cite

AlAmr, M. (2024). Authorship attribution, idiolectal style, and online identity: A specialised corpus of Najdi Arabic Tweets. International Journal of Speech, Language and the Law, 31(1), 154-161. https://doi.org/10.1558/ijsll.27343