نوع مقاله : بلاغی
نویسنده
استادیار، دانشکده علوم انسانی، گروه آموزشی ادبیات انگلیسی، دانشگاه ولایت، ایرانشهر، ایران.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
This study delineates the framework of digital rhetoric and cyberethics within the contemporary Iranian literary context, focusing on interpretative and ethical challenges. The central problem of this research is the critical reading and genealogy of analytical rifts in applying artificial intelligence models to encode, represent, and evaluate the rhetorical devices of literary texts. Due to the metaphorical nature of the Persian language, Western computational tools encounter significant ethical and interpretative calibration challenges when confronting second-order tropes such as Iham (amphiboly/polysemy), resulting in contextual blindness and the materialistic reductionism of sacred meanings. This research aims to extract computational validation patterns in text-based literary analysis and propose a localized matrix for evaluating digital rhetoric. The methodology employed is digital qualitative content analysis utilizing a text-based, computational approach. This is executed through the calibration of the GPT-4 large language model and NVivo software to extract core and secondary codes from Ghazal 1 of Hafez's Divan, the visual poetry of Tahereh Saffarzadeh, and Sadeq Chubak's novel Tangsir. The rationale for utilizing this method lies in its capacity to synthesize the mathematical architecture of algorithms with the semantic nuances of literary criticism. The findings indicate that without reconfiguration based on traditional Iranian rhetoric, computational algorithms suffer a 32% interpretative error rate in decoding Iham and encounter a methodological impasse in analyzing visual poetry. Nevertheless, inter-rater reliability calculations between human evaluators and the machine demonstrate that by implementing localized prompts and cyberethical frameworks, Cohen's kappa coefficient (κ) scales up to 0.84, indicating an excellent level of agreement. These insights substantiate the imperative transition toward human-in-the-loop digital humanities and pave the way for targeted policymaking to mitigate algorithmic biases.
کلیدواژهها [English]
)
ارسال نظر در مورد این مقاله