"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
- Thippa Reddy Gadekallu
- Ran Duan
- Gokul Yenduri
- Nikolaos D. Tselikas
- Konstantinos I. Roumeliotis
- Xiaodong Wu
- Praveen Kumar Reddy Maddikunta
- Jianbing Ni
In Health Informatics
In Safety Research
Citations in the corpus
- GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions (2023, background): “…it is effective in terms of resolving various language tasks related to translation, summarization, etc. Evaluation of GPT-2 on various downstream task datasets revealed that it excelled by substantially increasing accuracy in recognizing long-distance relationships and predicting sentences [24].”
- Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA (2023, unknown): “Despite the early contributions, ChatGPT is relatively new, and a scarcity of studies have investigated its use and the factors contributing to IU ChatGPT for learning purposes in the educational context (Lund & Wang, 2023; Taecharungroj, 2023).”
- To resist it or to embrace it? Examining ChatGPT’s potential to support teacher feedback in EFL writing (2023, unknown): “…human-like responses to users’ prompts in a conversational manner, acting as a chatbot, and has become a versatile tool with a range of applications, such as composing poetry, commenting on news, debugging code, writing essays, and summarising literature (Taecharungroj, 2023; van Dis et al., 2023).”
- ChatGPT and Open-AI Models: A Preliminary Review (2023, background): “Taecharungroj analyzed the early reactions to ChatGPT on Twitter by obtaining a dataset of 33,914 tweets containing the question “What can ChatGPT do?” and using Dirichlet allocation (LDA) to discover the topics discussed [64].”
- Unveiling Security, Privacy, and Ethical Concerns of ChatGPT (2023, background): “1) Propaganda Threat: MMLs, including ChatGPT, are facing a myriad of challenges and opportunities as they progress towards achieving artificial general intelligence (AGI) [17].”