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All Journal Journal of Economic Education
Wahyuni, Nurul Arifah
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Economics, Econometrics & Finance Education

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Exploring Public Sentiment on ChatGPT - An Analysis of Twitter Data Wahyuni, Nurul Arifah; Amelia, Dhea Rizky; Al Khoiry, I’tishom
Journal of Economic Education Vol 13 No 1 (2024): June 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jeec.v13i1.74993

Abstract

The rapid growth and widespread adoption of ChatGPT, an AI-driven natural language processing (NLP) tool developed by OpenAI, has garnered both positive and negative attention across various sectors. This study explores public opinion on ChatGPT using Twitter data. The methodology employs topic modeling techniques to identify the main topics discussed in relation to ChatGPT on the platform and conducts sentiment analysis to investigate public perceptions. This research is particularly relevant due to the recent release of the paid version of ChatGPT-4 by OpenAI. Understanding public sentiment and the main topics of conversation is essential to address potential risks, identify improvement opportunities, and ensure the ethical and responsible development of AI-driven NLP tools.
Co-Authors Amelia, Dhea Rizky I’tishom Al Khoiry