استعاره‌های مفهومی هوش مصنوعی در رسانه‌های خبری فارسی‌زبان: تحلیل بافتی-شناختی بر اساس نظریۀ گسترش‌یافتۀ استعارۀ مفهومی

نوع مقاله : مقاله پژوهشی

نویسندگان

• توماج همتی ¹
• محمد رضا پهلوان نژاد ²

¹ دانشجوی دکتری گروه زبانشناسی، دانشکده ادبیات و علوم انسانی، دانشگاه فردوسی مشهد، مشهد، ایران.

² استاد زبان‏شناسی، دانشکده ادبیات و علوم‏‏ انسانی، دانشگاه فردوسی مشهد، مشهد، ایران.

10.22067/jlkd.2025.94768.1342

چکیده

این تحقیق به بررسی استعاره‌های به‌کاررفته در متون خبری دیجیتال فارسی‌زبان برای مفهوم‌سازی هوش مصنوعی پرداخت.  پیکره‌ای کوچک از متون خبری منتشرشده در سه رسانۀ طی ده سال گذشته ساخته شد. منابع و متون پیکره بر اساس تناسب با اهداف تحقیق و معیار محبوبیت انتخاب شد. سپس با رویۀ شناسایی استعاره، استعاره‌های هوش مصنوعی، استخراج و بر اساس نظریۀ گسترش‌یافتۀ استعارۀ مفهومی از نظر مبدأ استعاری، عوامل بافتی و فرآیندهای شناختی مورد تجزیه‌وتحلیل قرار گرفت. تحلیل کمی با استفاده از آمار توصیفی نیز انجام شد. نتایج، کشف فرآیندهای شناختی دخیل در شکل‌گیری استعاره شامل انقباض و انقیاد مفهومی، مجاز و تلفیق در سطوح مختلف طرح‌وارگی بود. همچنین، نقش پویای تعامل عوامل بافتی و فرآیندهای شناختی برجسته شد. دستاورد مهم دیگر، پیشنهاد فرضیۀ درهم‌تنیدگی بافتی-شناختی برای تبیین تعامل پویای عوامل بافتی و فرآیندهای شناختی در پیدایش استعاره‌های مفهومی بود. بررسی بیشتر این فرضیه با توجه به حجم کم نمونه و ماهیت کیفی این تحقیق، تکرار تحقیق با نمونۀ بزرگ‌تر و رویکرد کمی به تحقیقات آتی پیشنهاد گردید. پیشنهاد توجه به عوامل بافتی و مفهوم‌سازی در کاربرد زبان برای حوزه‌های سیاست‌گذاری علم و فناوری، خبرنگاری و نگارش متون فنی پیشنهاد گردید.

کلیدواژه‌ها

• هوش مصنوعی
• زبانشناسی شناختی
• استعارۀ مفهومی

موضوعات

• معنا شناسی

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عنوان مقاله [English]

Artificial Intelligence through the Cognitive Linguistics Lens: An Analysis of Persian Digital News Texts based on Extended Conceptual Metaphor Theory

نویسندگان [English]

• Toomaj Hemmati ¹
• Mohammad Reza Pahlavannezhad ²

¹ PhD Candidate of Linguistics, Ferdowsi University of Mashhad, Mashhad, Iran.

² Professor of Linguistics, Ferdowsi University of Mashhad, Mashhad, Iran.

چکیده [English]

The purpose of this study was to study the conceptualizations of artificial intelligence based on Extended Conceptual Metaphor Theory (ECMT) in a small corpus of news texts published in Persian digital media. To this end, three digital news outlets of the past ten years were selected considering the research goals and popularity criteria. One news text was selected for each year. Next, artificial intelligence conceptualizations were systematically extracted following the Metaphor Identification Procedure (MIP). The data were qualitatively analyzed based on the theoretical framework for source domains, cognitive processes, and interacting contextual factors. Source domains were quantitatively analyzed using frequency and frequency percentages. The findings revealed that cognitive processes are involved in the emergence of the metaphors including conceptual compression and restriction, metonymy and blending at various levels of schematic hierarchy. This study highlighted the role of the dynamic interaction between context and cognitive processes. It also proposed the contextual-conceptual entanglement hypothesis to explain and study the role of the reciprocal interaction of different contextual factors and cognitive processes throughout the emergence of conceptual metaphors. Given the small sample size and qualitative nature of the study, further investigation of the proposed hypothesis, replication of this study with larger samples adopting quantitative approaches were suggested for future research. Moreover, more attention to contextual factors and conceptualizations in language use for science and technology policy-making, journalism and technical writing was suggested.

کلیدواژه‌ها [English]

• Artificial Intelligence
• Cognitive Linguistics
• Conceptual Metaphor

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