TWEET MAPPING ANALYSIS OF THE USE OF CHATGPT AS A LEARNING RESOURCE

Ilham Aditia Rahman, Ulfia Rahmi, Nofri Hendri, Abna Hidayati

Abstract


ChatGPT which serves 180 million global users, facilitates learning but poses risks such as reduced creativity and challenges in distinguishing fact from opinion. In Indonesia, this has become the main topic of discussion on Twitter which changes the dynamics of communication and changes the paradigm of information access and also makes ChatGPT a learning resource and reference. Utilizing word cloud and cluster analysis, this research explores the dominant themes in tweets related to ChatGPT as a learning and reference resource. The objectives include identifying keyword frequencies through the word cloud method, analyzing clusters of tweets based on usernames through cluster analysis, and understanding the global distribution of ChatGPT-related tweets by mapping clusters based on usernames. Findings gathered through Word Cloud analysis revealed ChatGPT as the most frequently mentioned term, with 583 words appearing. Topic clusters include opinions, information, and personal experiences, with opinions emerging as the most discussed theme. Then, this discussion spread outside Indonesia. The Asian continent is a cluster in distribution with a lot of data found regarding the use of ChatGPT as a learning resource.


Keywords


ChatGPT; Twitter; Word Cloud; Cluster Analysis; Learning.

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DOI: https://doi.org/10.17509/e.v23i1.67254

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