TY - JOUR
T1 - Mapping Media Research Paradigms
T2 - Journalism & Mass Communication Quarterly’s Century of Scientific Evolution
AU - Kim, Jeong Nam
AU - Chiu, Ming Ming
AU - Lee, Hyelim
AU - Oh, Yu Won
AU - Gil de Zúñiga, Homero
AU - Park, Chong Hyun
N1 - Publisher Copyright:
© 2023 AEJMC.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
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U2 - 10.1177/10776990231213376
DO - 10.1177/10776990231213376
M3 - Article
AN - SCOPUS:85180249726
SN - 1077-6990
VL - 100
SP - 736
EP - 772
JO - Journalism and Mass Communication Quarterly
JF - Journalism and Mass Communication Quarterly
IS - 4
ER -