"What Can ChatGPT Do?" Analyzing Early Reactions to the Innovative AI Chatbot on Twitter

By Viriya Taecharungroj. Big Data and Cognitive Computing, 2023

447 citations recorded by the source corpus.

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 this AI advancement: the evolution of jobs, a new technological landscape, the quest for artificial general intelligence, and the progress-ethics conundrum.

Subfields: Artificial Intelligence, Health Informatics, Safety Research

View Paper: https://www.semanticscholar.org/paper/4c48b91583a3ec5bc35137b02873d5f98a8430a3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Thippa Reddy Gadekallu
  2. Ran Duan
  3. Gokul Yenduri
  4. Nikolaos D. Tselikas
  5. Konstantinos I. Roumeliotis
  6. Xiaodong Wu
  7. Praveen Kumar Reddy Maddikunta
  8. Jianbing Ni

In Health Informatics

  1. Nikolaos D. Tselikas
  2. Konstantinos I. Roumeliotis

In Safety Research

  1. Nikolaos D. Tselikas
  2. Konstantinos I. Roumeliotis

Citations in the corpus