Abstract
This retrospective review of nearly a century of publications in Journalism and Mass Communication Quarterly (JMCQ) traces the maturation of media studies toward a scientific discipline. The field’s dominant paradigms—media effects and communicator uses—persist, adapt, and diversify over time, yielding actionable insights. Challenges include (a) bridging older and newer media theories, (b) harnessing data science, and (c) capitalizing on artificial intelligence/machine learning (AI/ML). Future media research can conceptualize evolving three-dimensional interactions among media, people, and AI. We propose seven initiatives for the next century: revisiting classical theories, fostering interdisciplinary collaboration, balancing descriptive and prescriptive theorization, nurturing indigenous theorizing, collaborating with industry, reverse theorizing with AI, and exploring and regulating AI’s role in media. Copyright © 2023 AEJMC.
Original language | English |
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Pages (from-to) | 736-772 |
Journal | Journalism & Mass Communication Quarterly |
Volume | 100 |
Issue number | 4 |
DOIs | |
Publication status | Published - Dec 2023 |
Citation
Kim, J.-N., Chiu, M. M., Lee, H., Oh, Y. W., Gil de Zúñiga, H., & Park, C. H. (2023). Mapping media research paradigms: Journalism & mass communication quarterly’s century of scientific evolution. Journalism & Mass Communication Quarterly, 100(4), 736-772. https://doi.org/10.1177/10776990231213376Keywords
- Artificial intelligence (AI)
- Communicator uses paradigm
- JMCQ (Journalism and Mass Communication Quarterly)
- Media effects paradigm
- Paradigms
- Scientification