Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
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Abstract (arXiv)
ChatGPT sets a new record with the fastest-growing user base, as a chatbot powered by a large language model (LLM). While it demonstrates state-of-the-art capabilities in a variety of language-generation tasks, it also raises widespread public concerns regarding its societal impact. In this paper, we investigated public attitudes towards ChatGPT by applying natural language processing techniques such as sentiment analysis and topic modeling to Twitter data from December 5, 2022 to June 10, 2023. Our sentiment analysis result indicates that the overall sentiment was largely neutral to positive, and negative sentiments were decreasing over time. Our topic model reveals that the most popular topics discussed were Education, Bard, Search Engines, OpenAI, Marketing, and Cybersecurity, but the ranking varies by month. We also analyzed the occupations of Twitter users and found that those with occupations in arts and entertainment tweeted aboutChatGPT most frequently. Additionally, people tended to tweet about topics relevant to their occupation. For instance, Cybersecurity is the most discussed topic among those with occupations related to computer and math, and Education is the most discussed topic among those in academic and research. Overall, our exploratory study provides insights into the public perception of ChatGPT, which could be valuable to both the general public and developers of this technology.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 19 of its 58 references that are in the map. First posted on arXiv 22 Jun 2023.
Builds on
19 of 58 references.
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7 more
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Citing papers per year: 2025: 5; 2026: 1.
6 papers.
- 2025REALM: A Dataset of Real-World LLM Use Casescited by 6
- 2025Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-minicited by 2
- 2025Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological changecited by 1
- 2025Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakerscited by 0
- 2025Benchmarking ChatGPT and DeepSeek in April 2025: A Novel Dual Perspective Sentiment Analysis Using Lexicon-Based and Deep Learning Approachescited by 0
- 2026Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systemscited by 0
- 2026Expectation, Backlash, Recovery, and Excitement: How Model Releases Shape Reddit Perceptions of Conversational AI Systems25 Aug 2026
- 2025Benchmarking ChatGPT and DeepSeek in April 2025: A Novel Dual Perspective Sentiment Analysis Using Lexicon-Based and Deep Learning Approaches16 Sep 2025
- 2025Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakers23 Jul 2025
- 2025Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change9 Jul 2025
- 2025REALM: A Dataset of Real-World LLM Use Cases24 Mar 2025
- 2025Generative AI Takes a Statistics Exam: A Comparison of Performance between ChatGPT3.5, ChatGPT4, and ChatGPT4o-mini15 Jan 2025