Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This study explores the application of ChatGPT (GPT) to content analysis within the context of framing research, specifically examining its effectiveness in identifying public health, economic stability, and civic vitality frames in COVID-19 press releases. Our methodology is grounded in the Semantic Architecture Model (SAM), which conceptualizes framing as a process by which meaning is embedded in content units at various textual levels (i.e., concepts, assertions, arguments and narratives). In addition, this study underlines the necessity of AI prompt engineering to improve GPT’s coding performance in identifying frames at the concept, assertion, and thematic argument levels. The findings indicate the transformative potential of AI in communication research, highlighting its ability to analyze complex message framing across diverse contexts.
Recommended Citation
Kwon, Hyerin; Lu, Linqi; Kang, Jiwon; and Mcleod, Douglas, "Leveraging the Power of ChatGPT: Evaluating Its Effectiveness for Content Analysis and Framing Research in Mass Communication" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 3.
https://aisel.aisnet.org/hicss-58/dsm/conversation/3
Leveraging the Power of ChatGPT: Evaluating Its Effectiveness for Content Analysis and Framing Research in Mass Communication
Hilton Waikoloa Village, Hawaii
This study explores the application of ChatGPT (GPT) to content analysis within the context of framing research, specifically examining its effectiveness in identifying public health, economic stability, and civic vitality frames in COVID-19 press releases. Our methodology is grounded in the Semantic Architecture Model (SAM), which conceptualizes framing as a process by which meaning is embedded in content units at various textual levels (i.e., concepts, assertions, arguments and narratives). In addition, this study underlines the necessity of AI prompt engineering to improve GPT’s coding performance in identifying frames at the concept, assertion, and thematic argument levels. The findings indicate the transformative potential of AI in communication research, highlighting its ability to analyze complex message framing across diverse contexts.
https://aisel.aisnet.org/hicss-58/dsm/conversation/3