Earticle

초록

영어

This study examines the frames in natural disaster-related news in Madagascar and Malawi. Previous studies have shown that the media would mainly address conflict in their coverage. However, practices such as solutions journalism have recently emerged and have proven to be efficient in terms of engagement. There could therefore be a shift in news frames as solution-based stories are also increasing, and this study aims to observe whether or not there is a change in the framing of news. Using ChatGPT to do the frame analysis, this study focuses on the tropical cyclone Freddy that hit Madagascar and Malawi in early 2023. A total of 329 articles from the mainstream print media of both countries were retrieved and analyzed in this study. The findings show that coverage of natural disasters still tends to focus on the response and the extent of damages. On the other hand, ChatGPT was proven to be 75.69% accurate in terms of frame analysis but could however not clearly distinguish between the response and solution frames. This study suggests, however, that proper prompting on ChatGPT could lead to better differentiation. The implication of the results for computational content analysis was also discussed.

목차

Abstract
1. Introduction
2. Literature review
1) Computational framing approaches
2) Natural Disaster News Reports
3) Natural Disaster News Reports Framing
4) Frames on Solutions
5) Influence of Media Ideology on News Framing
3. Methodology
1) Data collection
2) Coding scheme
3) Manual cross-analysis
4. Results
1) Dominant frames in news reports about Cyclone Freddy
2) Influence of the news media’s political tendency on the framing
3) Accuracy of ChatGPT
5. Discussion and conclusion
References

키워드

저자

• Ramanoelina Miangola [ Department of Journalism and Public Relations, Jeju National University, PhD Student ] First author
• Dohyun Ahn [ Department of Journalism and Public Relations, Faculty of Data Science for Sustainable Growth, Jeju National University Professor ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국소통학보 [Journal of Speech, Media & Communication Research]

• 간기

  계간

• pISSN

  1598-7752

• 수록기간

  2002~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 802 DDC 800