نوع مقاله : علمی وپزوهشی
نویسنده
دکتری علم اطلاعات و دانششناسی، دانشکده ادبیات، علوم انسانی و اجتماعی، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسنده [English]
The present study aimed to investigate the role of recommendation algorithms in reproducing cultural distinctions and class tastes in Iranian video-on-demand (VOD) platforms. This study was designed with a quantitative and qualitative approach. In the quantitative part, data from 450 active users of Iranian platforms were collected using a semi-structured questionnaire and analyzed using statistical methods. In the qualitative part, 25 interviews with selected users were conducted to explain cultural decision-making mechanisms and were examined using content analysis. The findings showed that although access to platforms is relatively homogeneous, the understanding of the functioning of algorithms and consumption patterns is a function of the social status and cultural capital of individuals. The results showed that at a macro level, recommendation algorithms act as cultural mediators and, while facilitating access, lead to the invisible reproduction of class and taste boundaries. Therefore, the data-driven technologies of VOD platforms are not only a means of content distribution but also an active factor in reconstructing cultural distinctions in Iran's digital society.
کلیدواژهها [English]
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