Event-Driven and Structural Dynamics of Media Framing in Platform Politics: A Time-Series Analysis of South Korean News Coverage of TikTok (2020–2024)

This study examines the longitudinal evolution of media framing of TikTok in South Korean news coverage from 2020 to 2024. As a global digital platform increasingly embedded in geopolitical and regulatory controversies, TikTok provides an instructive case for understanding how media frames shift over time in response to external political pressures. Moving beyond static framing analyses and Western-centric perspectives, this study conceptualizes framing as a dynamic process shaped by both short-term events and longer-term structural change. Using 5660 TikTok-related news articles from the BIGKinds database, we apply large language model-assisted frame classification and construct a frame shift index (FSI) to measure temporal changes in dominant frames. Interrupted time series (ITS) analysis is employed to test short-term framing responses to discrete international political and policy events, while the Bai–Perron breakpoint test (BPT) is used to identify long-term structural breaks. The results show that significant frame shifts are closely associated with transnational policy disputes and international political conflicts. While ITS reveals clear event-driven short-term framing adjustments, BPT identifies a statistically significant structural breakpoint in late 2022, indicating a longer-term reorganization of media narratives under sustained geopolitical and regulatory pressures.

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Publication Details

Journal
Journalism and Media
Published
2026-01-30
DOI
https://doi.org/10.3390/journalmedia7010022
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Event-Driven and Structural Dynamics of Media Framing in Platform Politics: A Time-Series Analysis of South Korean News Coverage of TikTok (2020–2024)

Yongkang Hou, Lee Miller, ShaoPeng Che, Xuan Huang et al.
Journalism and Media
Computational and Text Analysis Methods
article

Event-Driven and Structural Dynamics of Media Framing in Platform Politics: A Time-Series Analysis of South Korean News Coverage of TikTok (2020–2024)

Yongkang Hou, Lee Miller, ShaoPeng Che, Xuan Huang, Junqing Xu, Min Zhu
article en

Abstract

This study examines the longitudinal evolution of media framing of TikTok in South Korean news coverage from 2020 to 2024. As a global digital platform increasingly embedded in geopolitical and regulatory controversies, TikTok provides an instructive case for understanding how media frames shift over time in response to external political pressures. Moving beyond static framing analyses and Western-centric perspectives, this study conceptualizes framing as a dynamic process shaped by both short-term events and longer-term structural change. Using 5660 TikTok-related news articles from the BIGKinds database, we apply large language model-assisted frame classification and construct a frame shift index (FSI) to measure temporal changes in dominant frames. Interrupted time series (ITS) analysis is employed to test short-term framing responses to discrete international political and policy events, while the Bai–Perron breakpoint test (BPT) is used to identify long-term structural breaks. The results show that significant frame shifts are closely associated with transnational policy disputes and international political conflicts. While ITS reveals clear event-driven short-term framing adjustments, BPT identifies a statistically significant structural breakpoint in late 2022, indicating a longer-term reorganization of media narratives under sustained geopolitical and regulatory pressures.

Journalism and MediaVol. 7(1)
Peking University (CN), Chang'an University (CN), The University of Tokyo (JP), Tsinghua University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 81%
Computational and Text Analysis Methods
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