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A Computerized Analysis of Gender Linguistic Patterns as Reflected in the Jordanians’ Facebook Statuses: Lexical Items, Affect, Theme, Identity and More

by Awni Shati Etaywe
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 31
Year of Publication: 2018
Authors: Awni Shati Etaywe
10.5120/ijca2018918242

Awni Shati Etaywe . A Computerized Analysis of Gender Linguistic Patterns as Reflected in the Jordanians’ Facebook Statuses: Lexical Items, Affect, Theme, Identity and More. International Journal of Computer Applications. 182, 31 ( Dec 2018), 15-24. DOI=10.5120/ijca2018918242

@article{ 10.5120/ijca2018918242,
author = { Awni Shati Etaywe },
title = { A Computerized Analysis of Gender Linguistic Patterns as Reflected in the Jordanians’ Facebook Statuses: Lexical Items, Affect, Theme, Identity and More },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2018 },
volume = { 182 },
number = { 31 },
month = { Dec },
year = { 2018 },
issn = { 0975-8887 },
pages = { 15-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number31/30225-2018918242/ },
doi = { 10.5120/ijca2018918242 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:59.172508+05:30
%A Awni Shati Etaywe
%T A Computerized Analysis of Gender Linguistic Patterns as Reflected in the Jordanians’ Facebook Statuses: Lexical Items, Affect, Theme, Identity and More
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 31
%P 15-24
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Facebook has revolutionized the way people share information and use language which has the potential to mark individual and collective identity. This makes exploring patterns in language use of a paramount significance. One conventional marker of what is being expressed and how is the word used in writing. Focusing on the used words, this study aims at exploring the potential distinguishing patterns in language used by Jordanian male and female authors of self-generated Facebook-status texts. Data were collected from a purposive sample by means of the 'social network' model, and then categorized and analyzed statistically using eclectic computerized (stylometric and online automated) analysis tools, including LIWC. Results demonstrated the impact of gender on discriminating language patterns and, thus, might facilitate gender specific status-predictability. Men and women wrote their statuses in statistically different ways. Women exhibited higher frequency of use of (social) lexical items, first person and second person pronouns, and optimistic/'upbeat' tone. Men's statuses revealed more third person pronouns, positive affect and clout in their writing. Geopolitical and sport theme-related words characterized male-authored themes and male semantic orientation. This study emphasizes the value of linguistic work with focus on resources used in social media to mirror themes, affect, tone, clout and more. It also provides implications for (electronic) discourse analysis, text/corpus analysis, sociolinguistics and forensic linguistics.

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Index Terms

Computer Science
Information Sciences

Keywords

Linguistic pattern gender lexical item theme affect tone

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