Aisha Bint Fahad Saeed Al-Barqa Al-Qahtani*
Department of Arabic Language and Literature, College of Arts and Human Sciences, King Abdulaziz University, Saudi Arabia
Special Issue: Arabic Poetry Research | Pages: 284-296 | September 2024 | https://doi.org/10.54940/ll77052995 | PDF
*Corresponding author: [email protected]
Abstract
In today's world, characterized by technology and artificial intelligence, societies have become interconnected, and the global community resembles a small village. Within this digital realm, the identities of nations and their inhabitants manifest through their expressive tools and artistic forms. The recipient perceives, through the digital space, a portrayal of these societies. In the case of Saudi society, a progressive community, its artistic and literary expressions are prominently featured on social media platforms and other online spaces, both official and unofficial. These platforms serve to depict the components and cultural backgrounds of the society, which it leans upon. The digital space becomes a canvas for its aspirations, emotions, and the diverse spectrum of its orientations and tendencies. The study tracked the most prominent transformations in Saudi culture through the digital poetic text, relying on digital poetic models through which the meeting of the past with the present was presented, and monitoring the manifestations of Saudi culture and its presence in the digital poetic text. The study concluded a number of results, the most important of which is that the Saudi poetic text presented a picture of the elements of Saudi culture, and the digital poetic models were able to show the meaning and deepen it in the mind of the recipient and evoke all those elements to embody the image of Saudi culture.
Keywords
Saudi Culture, Digital Poetry, Virtual Reality, Cultural Representation, Technology.
How to Cite
1. Al-Qahtani A. Representation of Saudi Culture in Digital Poetry. Journal of Umm Al-Qura University for Language Sciences and Literature. Special Issue: Arabic Poetry Research, 2024 September; 284–296. doi:https://doi.org/10.54940/ll77052995