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Since its launch, ChatGPT has achieved remarkable success as a versatileconversational AI platform, drawing millions of users worldwide and garneringwidespread recognition across academic, industrial, and general communities.This paper aims to point a portrait of early GPT users and understand how theyevolved. Specific questions include their topics of interest and theirpotential careers; and how this changes over time. We conduct a detailedanalysis of real-world ChatGPT datasets with multi-turn conversations betweenusers and ChatGPT. Through a multi-pronged approach, we quantify conversationdynamics by examining the number of turns, then gauge sentiment to understanduser sentiment variations, and finally employ Latent Dirichlet Allocation (LDA)to discern overarching topics within the conversation. By understanding shiftsin user demographics and interests, we aim to shed light on the changing natureof human-AI interaction and anticipate future trends in user engagement withlanguage models.

Early ChatGPT User Portrait through the Lens of Data