“What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter
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Abstract
In this study, the author collected tweets about ChatGPT, an innovative AI chatbot, in the first month after its launch. A total of 233,914 English tweets were analyzed using the latent Dirichlet allocation (LDA) topic modeling algorithm to answer the question “what can ChatGPT do?”. The results revealed three general topics: news, technology, and reactions. The author also identified five functional domains: creative writing, essay writing, prompt writing, code writing, and answering questions. The analysis also found that ChatGPT has the potential to impact technologies and humans in both positive and negative ways. In conclusion, the author outlines four key issues that need to be addressed as a result of…
Citation impact
472
total citations
- FWCI
- 113.71
- Percentile
- 100%
- References
- 31
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Chatbot
- Latent Dirichlet allocation
- Computer science
- Key (lock)
- Topic model
- Data science
- Artificial intelligence
UN Sustainable Development Goals
- Quality Education
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