Work

A Pilot Study on the Collection and Computational Analysis of Linguistic Differences Amongst Men and Women in a Kuwaiti Arabic WhatsApp Dataset

Year: 2022

Type: conference-paper

Abstract: This study focuses on the collection and computational analysis of Kuwaiti Arabic, which is considered a low resource dialect, to test different sociolinguistic hypotheses related to gendered language use.In this paper, we describe the collection and analysis of a corpus of What-sApp Group chats with mixed gender Kuwaiti participants.This corpus, which we are making publicly available, is the first corpus of Kuwaiti Arabic conversational data.We analyse different interactional and linguistic features to get insights about features that may be indicative of gender to inform the development of a gender classification system for Kuwaiti Arabic in an upcoming study.Statistical analysis of our data shows that there is insufficient evidence to claim that there are significant differences amongst men and women with respect to number of turns, length of turns and number of emojis.However, qualitative analysis shows that men and women differ substantially in the types of emojis they use and in their use of lengthened words.

Source: Arabic Natural Language Processing Workshop (WANLP)

DOI: 10.18653/v1/2022.wanlp-1.35

Authors: Hesah Aldihan, Robert Gaizauskas, Susan Fitzmaurice

Institutions: Kuwait University, University of Sheffield

Language: English

Topic: Digital Communication and Language

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDGs: Gender equality, Reduced inequalities

Open Access status: hybrid

OpenAlex ID: W4385574080