행위자-네트워크 이론(ANT)을 통한 소셜미디어의 AI 추천시스템 역할 분석 - 페이스북을 중심으로 -

초록

The purpose of this paper is to analyze and discuss the role of Facebook''s AI recommendation system through actor network theory (ANT). To this end, literature related to actor network theory, social media, and Facebook''s AI recommendation system was reviewed to examine the characteristics and structure. In addition, the literature that studied the communication effect of social media and the social effect of AI recommendation system was examined. As a result of the study, the opaque ''AI recommendation system'' was playing the role of a programmer and switcher for network power. The result leads to a situation in which users using social media are hindered by autonomous choices and actions within the network. In addition, this absurd situation was used to pursue the special interests of platform operators at the peak of network power. Therefore, users who are human actors of the network need a process of recognizing and improving the problems of the system and their natural rights through the process of opening and examining the AI recommendation system closed inside the network for fair network configuration.

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