After"Actor-Network":The Actant Turn and Theoretical Re-orientation in Digital Journalism Studies
Artificial intelligence technologies,exemplified by large language models and other emerging digital technologies,have been unprecedentedly influencing the production and consumption of digital news and reshaping people's ontological understandings and news practices.Correspondingly,digital journalism studies have begun to acknowledge and emphasize the revolutionary role of digital technologies in journalism,considering them as actors of equal importance to journalists,news organizations,media capital,and audiences.In this theoretical turn within digital journalism,Actor-Network Theory(ANT),coined by Bruno Latour,has garnered significant attention and theoretical application due to its powerful explanatory capability in revealing the complicated relationship between journalism and new technologies.Drawing on critical perspectives on ANT theory,this paper reviews the adoption of ANT theory in digital journalism studies,and explores the strength and limitations of this approach,along with providing re-orientations for future studies that could be informed by post-ANT perspectives.
digital journalismactor-network theoryartificial intelligencetheory critique
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