Developing a ChatGPT-Based Text Extraction Model to Analyze Effective Communication Elements in Pandemic-Related Social Q&A Responses
Author:
Affiliation:
1. Sungkyunkwan University,Department of MetaBioHealth,Seoul,Republic of Korea
2. Georgia Southern University,Department of Communication Arts,Statesboro,GA,USA
3. Terry College of Business, University of Georgia,Athens,GA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463227.pdf?arnumber=10463227
Reference20 articles.
1. Sexual health information-seeking behavior on a social media site: predictors of best answer selection
2. The Power of Fake News: Big Data Analysis of Discourse About COVID-19-Related Fake News in South Korea;Jang;International Journal of Communication,2023
3. What answers do questioners want on social Q&A? User preferences of answers about STDs
4. The cognitive authority of user-generated health information in an online forum for girls and young women
5. Language style and recognition of the answers in health Q&A community: Moderating effects of medical terminology
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