A Corpus-Based Discourse Analysis Study of WhatsApp Messenger’s Semantic Notifications

Nisreen Al-Khawaldeh, Baker Bani-Khair, Bassil Mashaqba, Anas Huneety


This study is the first to analyse WhatsApp’s semantic notifications particularly those of Jordanians. It also seeks to analyse the differences in these notifications’ language use by gender and endeavors to reveal some latent socio-cultural values affecting the way users make certain language choices in these online notifications. The study contributes to knowledge since such analysis helps to reveal unique networks of individuals communicating through Arabic and English in unique and innovative ways. It mainly assists in describing the members of the Jordanian society revealing a great deal of information about their personal status, their activities, society and problems. The discourse analysis of these notifications also describes how the language has been adjusted to online discourse. The written status notifications from 300 WhatsApp’s users were compiled and analysed based on a critical discourse analysis to form a predictive model of the users based on their language and to investigate the traces of social values in these semantic expressions and explain their connotations and functions in discourse. Results indicated that the language used in WhatsApp’s status notifications were a mixture of both standard and non-standard abbreviations, reduced endings which were ungrammatical. It was also found that the linguistic notifications-based assessments constitute a valid reflection of the status of its users and their society as a whole. They were as a revelation of personal, social, religious and political issues the users are concerned about. Differences with respect to gender were not found in structural construction of the language rather in categories indicating various themes. Results showed that females status updates are more personal, religious and social while males are concerned more about political, national and international themes.



Linguistic feature, WhatsApp’s notification status, critical discourse analysis, socio-cultural features, language variation and corpus

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DOI: http://dx.doi.org/10.7575/aiac.ijalel.v.5n.6p.158


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