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Mapping media research paradigms: Journalism & mass communication quarterly’s century of scientific evolution

  • Jeong-Nam KIM
  • , Ming Ming CHIU
  • , Hyelim LEE
  • , Yu Won OH
  • , Homero GIL DE ZÚÑIGA
  • , Chong-Hyun PARK

Research output: Contribution to journalArticlespeer-review

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 languageEnglish
Pages (from-to)736-772
JournalJournalism & Mass Communication Quarterly
Volume100
Issue number4
DOIs
Publication statusPublished - Dec 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Artificial intelligence (AI)
  • Communicator uses paradigm
  • JMCQ (Journalism and Mass Communication Quarterly)
  • Media effects paradigm
  • Paradigms
  • Scientification

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