https://orcid.org/0000-0001-5371-0418
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ABSTRACT
This qualitative study aims to illuminate the profound impacts of algorithmic processes on news audiences. The CAPI with 101 participants nationwide examines algorithmic news consumption from several interrelated perspectives, including personalization, news appreciation, echo chambers, algorithmic literacy, and news literacy. The study finds that users of AI-powered news apps often trust and even prefer algorithmic to human judgement but are concerned about missing out on important information and challenging viewpoints, as well as about their privacy. Many participants, while ambivalent about living with algorithm-based news recommendations, commonly exhibit a sense of comfort, appreciation, and gratification with personalized news feeds, calling the use of news apps a pleasant and satisfactory experience. While participants in general report being less active in searching information after using news apps, many participants believe that they are, ironically, more informed and knowledgeable now that they have the news apps.
Disclosure Statement
No potential conflict of interest was reported by the author.
Additional information
Notes on contributors
Ying Roselyn Du
Ying Roselyn Du (Ph.D., University of North Carolina at Chapel Hill) is an associate professor at California State University, Fullerton. Her research interests include audience analysis, public opinion, media credibility, and global media. Before joining the faculty at CSU, she spent ten years at Hong Kong Baptist University. In a previous life, she was an award-winning frontline journalist in China.