شناخت پژوهی مطالعات سیاسی

شناخت پژوهی مطالعات سیاسی

جامعه الگوریتمی و بازآرایی شناخت سیاسی در جمهوری اسلامی ایران: ارائه الگوی مفهومی

نوع مقاله : مقاله پژوهشی

نویسنده
استادیار علوم سیاسی دانشگاه امام حسین(ع)
چکیده
گسترش هوش مصنوعی و پلتفرم‌های داده‌محور، سازوکارهای شناخت و اطلاعات سیاسی را دگرگون کرده است. با وجود مطالعات گسترده، الگوی جامعی برای تبیین این تحول در ایران وجود ندارد؛ ازاین‌رو، پژوهش حاضر با هدف ارائه الگوی بازآرایی شناخت سیاسی در جمهوری اسلامی ایران انجام شده است. این پژوهش از نظر هدف، کاربردی ـ توسعه‌ای و از نظر روش، کیفی است و با بهره‌گیری از مرور نظام‌مند ادبیات بر اساس چارچوب پریزما و تحلیل شبکه مفهومی انجام شده است. جامعه پژوهش شامل مطالعات و اسناد علمی معتبر داخلی و بین‌المللی مرتبط با جامعه الگوریتمی، هوش مصنوعی، حکمرانی داده، قدرت الگوریتمی و شناخت سیاسی بود که منابع واجد معیارهای ورود به‌عنوان نمونه پژوهش انتخاب و تحلیل شدند. داده‌ها با استفاده از نرم‌افزارهای مکس‌کیودا، وی‌اواس‌ویوئر و گفی تحلیل شدند. یافته‌ها نشان داد که «جامعه الگوریتمی»، «قدرت الگوریتمی»، «اقتصاد توجه و رسانه‌های پلتفرمی» و «سوگیری‌های شناختی» مهم‌ترین مؤلفه‌های بازآرایی شناخت سیاسی هستند و در قالب شبکه‌ای مفهومی و چندسطحی با یکدیگر تعامل دارند. بر اساس این یافته‌ها، مدل مفهومی پژوهش نشان می‌دهد که شناخت سیاسی در عصر هوش مصنوعی محصول تعامل پویا میان انسان، الگوریتم‌ها، داده و ساختارهای قدرت است و در جمهوری اسلامی ایران، این فرایند تحت تأثیر هم‌زمان ساختارهای حکمرانی، تنظیم‌گری فضای مجازی، شرایط زیرساختی و الگوهای مشارکت سیاسی دیجیتال شکل می‌گیرد.
کلیدواژه‌ها

عنوان مقاله English

Algorithmic Society and the Reconfiguration of Political Cognition in the Islamic Republic of Iran: A Conceptual Model

نویسنده English

Ali Moradi Bahmaei
Assistant Professor of Political Science, Imam Hossein University
چکیده English

The expansion of artificial intelligence and data-driven platforms has transformed the mechanisms of political cognition and information. Despite extensive research, a comprehensive model explaining this transformation in Iran remains lacking. Accordingly, this study aims to develop a model of political cognitive reconfiguration in the Islamic Republic of Iran. The study is applied-developmental in purpose and qualitative in approach, employing a systematic literature review based on the PRISMA framework and conceptual network analysis. The research population comprised credible domestic and international scholarly studies and documents addressing the algorithmic society, artificial intelligence, data governance, algorithmic power, and political cognition; sources meeting the inclusion criteria were selected and analyzed as the research sample. Data were analyzed using MAXQDA, VOSviewer, and Gephi. The findings indicate that the algorithmic society, algorithmic power, the attention economy and platform-based media, and cognitive biases constitute the principal dimensions of political cognitive reconfiguration and interact within a multilevel conceptual network. Based on these findings, the proposed conceptual model demonstrates that political cognition in the age of artificial intelligence emerges from the dynamic interaction among humans, algorithms, data, and power structures. In the Islamic Republic of Iran, this process is shaped simultaneously by governance structures, cyberspace regulation, infrastructural conditions, and patterns of digital political participation.

کلیدواژه‌ها English

Algorithmic Society
Reconfiguration of Political Cognition
Artificial Intelligence
Data Governance
Islamic Republic of Iran
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دوره 3، شماره 2 - شماره پیاپی 9
فصل تابستان
تابستان 1405
صفحه 1-35

  • تاریخ دریافت 19 تیر 1405
  • تاریخ بازنگری 21 مرداد 1405
  • تاریخ پذیرش 21 شهریور 1405