Full Article: [pdf] DOI: https://dx.doi.org/10.22503/inftars.XXV.2025.3.2 Language: en Author(s):  Juan Liu  / Majid Raza  / Shahzad Farid  / Hadia Khalil  / Mohammad Fawwaz Eneizat
Title: Journalism Meets Algorithms Subtitle: How Chinese Students See the Future of News Abstract: This study explores how journalism students from diverse Chinese universities perceivethe role of artificial intelligence (AI) and algorithms in journalism education.Drawing on 37 in-depth interviews and 11 follow-up conversations, the findings reveala predominant narrative of a hybrid system, whereby students envision collaborationrather than competition between journalists and intelligent technologies.These imaginaries are shaped by state-driven narratives and limited transnationalcomparisons, reflecting a hybrid media model rooted in technological optimism andnational pride. While participants recognize AI’s potential to enhance efficiency andcontent distribution, they also raise concerns about algorithmic bias, data dependence,and ethical erosion. A central theme is the “viral-valid fallacy”—the distinctionbetween content virality and information validity in an era of rapid informationoverflow. Journalism training and political affiliation mediate these views, underscoringthe need for ethically grounded, interdisciplinary media education andAI-integrated approaches to journalism design.
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