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Title Linguistic Analysis of Nonlinear Interactive Narratives

Author(s) Javeria Ashfaq Bhatti

Abstract One tool for narrative initiation, understanding, interpretation, analysis, and (re)shaping is language, a phenomenon always considered as exclusively human and a phenomenon that gives its human users a superiority over other beings. However, human linguistic superiority seems to be threatened in the hyper- real twenty- first century. The threat is posed by the open AI systems which while collaborating with their human users display the capability to autonomously generate free and unconstrained yet coherent and meaningful language texts. Nonlinear narratives being (re)shaped in collaboration with open AI systems are unique because of (i) their hyper-real quality where the distinction between AI generated language and human language inputs cannot be made, (ii) where inputs by human authors remain subjected to their spatio- temporal situatedness, socio- cultural contexts, and individual choices, text contributions generated by the open AI systems are products of neither any contextual understanding nor are they influenced by any sentience for the consequences that the language or the (re)shaped narratives might have on its receivers. Using different analytical steps, this dissertation has tried to establish the legitimacy of the AI generated texts in terms of their coherence, meaningfulness, syntactic patterns, semiotic suggestibility, and thematic emergence. The aim is to strengthen the observation that AI (re)shaped nonlinear narratives possess the attributes that are associated with human existence and have the potential at performing different functions, conveying subtle meanings, and suggesting underlying themes such as effectively exercising their gender performativity, exhibiting intricate human emotions and psychological complexities, and portraying multidimensional human relationships. Study of the AI (re)shaped nonlinear narratives is done to point out that autonomously operating open AI systems have become contributors to human existence despite the fact that they are nonhuman and lack all sentience. The dissertation also highlights the need to devise new theoretical perspectives and analytical tools to address the emerging phenomenon of a nonhuman AI agency capable of collaborating freely, meaningfully, and effectively with the human race.

Type Thesis/Dissertation PhD

Faculty Languages

Department English

Language English

Publication Date 2024-01-11

Subject PhD English Linguistics

Publisher Department of English (GS)

Contributor(s) Dr. Mian Khurram Shehzad Azam

Format As per departmental guidelines

Identifier Dr. Muhammad Haseeb Nasir (PhD English Program Coordinator)

Source PhD

Relation PhD

Coverage PhD

Rights PhD

Category PhD English Linguistics Thesis

Description Linguistic Analysis of Nonlinear Interactive Narratives