인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This paper seeks to explore the algorithmic system in the Black Mirror episode Hang the DJ through the lens of posthuman media ecology against the prevalent anxiety over the algorithmic power that regulates human agency. Drawing on Levi Bryant’s conceptualization of machine-oriented ontology and posthuman media ecology, this paper reads the dating application — “the System” — in the episode as a prominent medium that simultaneously affords and constrains human relationships. By offering Frank and Amy affordances and constraints, this algorithmic system orchesrates intimacy between them, even reducing the affective register of love to a calculable variable. The structure of double reversal that features Frank and Amy’s attempt to break free from the System and again reinscribes this subversive gesture within the simulation system ultimately exposes the anthropocentrism behind the romanticized opposition between humans and machines. While falling short of autonomous agency, Frank and Amy’s love or act of resistance emerge as effects within the algorithmic system as an assemblage of machines in which humans, algorithms, social norms, and spatial environments are coupled and interact with each other, destabilizing the boundaries between emotion and data, chance and calculation, and human choice and algorithmic decision. Dismantling the subject–object dichotomy and restoring the ontological entanglement in which humans and machines act as media for one another, the algorithmic system in Hang the DJ can be redefined as a field that generates new relations and affects. In this entangled assemblage, intimacy itself is not solely a product of regulation but persists as a local manifestation of new possibilities.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-26-02-094306611
