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Testing ChatGPT's Capabilities for Social Media Content Analysis
M. Haman, M. Školník
Language English Country United States
Document type Letter
NLK
ProQuest Central
from 2002-11-01 to 1 year ago
Medline Complete (EBSCOhost)
from 2003-01-01 to 1 year ago
Health & Medicine (ProQuest)
from 2002-11-01 to 1 year ago
- MeSH
- Humans MeSH
- Social Media * MeSH
- Artificial Intelligence MeSH
- Check Tag
- Humans MeSH
- Publication type
- Letter MeSH
This letter explores the potential of artificial intelligence models, specifically ChatGPT, for content analysis, namely for categorizing social media posts. The primary focus is on Twitter posts with the hashtag #plasticsurgery. Through integrating Python with the OpenAI API, the study provides a designed prompt to categorize tweet content. Looking forward, the utilization of AI in content analysis presents promising opportunities for advancing understanding of complex social phenomena.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine Ratings, please refer to Table of Contents or online Instructions to Authors http://www.springer.com/00266 .
References provided by Crossref.org
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