In recent years,algorithmic recommendation mechanisms—an important form of artificial intelligence—have increasingly permeated the information ecosystem,reshaping modes of social communication and public behavioral ...In recent years,algorithmic recommendation mechanisms—an important form of artificial intelligence—have increasingly permeated the information ecosystem,reshaping modes of social communication and public behavioral logics.As these systems become pervasive in the media sphere,phenomena such as algorithmic bias and"filter bubbles"have proliferated.The internet is rife with inflated traffic metrics and fabricated or distorted news,fostering a kind of tunnel vision that adversely affects public values,patterns of behavior,and even socioeconomic life.Against this backdrop,the present study investigates the contemporary effects of algorithmic recommendation,revealing how the twin social phenomena of algorithmic evolution and data noise steer users'unconscious behaviors and reshape mass information circulation.On this basis,it argues that technological alienation erodes human subjectivity.Methodologically,the project conducts livestream-based fieldwork,visualization experiments,and imaging-device design to abstract and symbolically encode these phenomena.In the culminating design practice,AI-based algorithm detection is integrated with a digital imaging apparatus and articulated through a montage-style narrative logic.By employing a sensory-interactive art installation to interpret these dynamics,the research renders its findings more concrete and immediate—inviting public reflection on algorithmic influence and offering new directions for related scholarship,thereby promoting synergy between art and sociology.展开更多
文摘In recent years,algorithmic recommendation mechanisms—an important form of artificial intelligence—have increasingly permeated the information ecosystem,reshaping modes of social communication and public behavioral logics.As these systems become pervasive in the media sphere,phenomena such as algorithmic bias and"filter bubbles"have proliferated.The internet is rife with inflated traffic metrics and fabricated or distorted news,fostering a kind of tunnel vision that adversely affects public values,patterns of behavior,and even socioeconomic life.Against this backdrop,the present study investigates the contemporary effects of algorithmic recommendation,revealing how the twin social phenomena of algorithmic evolution and data noise steer users'unconscious behaviors and reshape mass information circulation.On this basis,it argues that technological alienation erodes human subjectivity.Methodologically,the project conducts livestream-based fieldwork,visualization experiments,and imaging-device design to abstract and symbolically encode these phenomena.In the culminating design practice,AI-based algorithm detection is integrated with a digital imaging apparatus and articulated through a montage-style narrative logic.By employing a sensory-interactive art installation to interpret these dynamics,the research renders its findings more concrete and immediate—inviting public reflection on algorithmic influence and offering new directions for related scholarship,thereby promoting synergy between art and sociology.
