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Testing ChatGPT's Capabilities for Social Media Content Analysis
Michael Haman1, Milan Školník2
1Department of Humanities, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic. haman@pef.czu.cz.
Abstract:
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 .
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