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. 2023 Sep 15;13:15310. doi: 10.1038/s41598-023-42227-6

Table 2.

Topics overall.

Topic Volume % Total Average length of conversation
AI in general 114,830 10.96 6.31
Question examples, prompt engineering 104,529 9.98 5.71
Education 86,934 8.30 5.19
OpenAI and its Investors and products (Microsoft, Musk) 80,077 7.65 5.58
Access and price 77,795 7.43 9.55
LLM technology 70,433 6.72 6.22
Impact on search engines 53,557 5.1 5.85
Impact on art (poems and lyrics, movies, books) 47,672 4.55 4.69
Digital content generation(podcasts,youtube scripts,quizzes) 41,671 3.98 5.50
Programming 35,648 3.40 4.84
Business routine 34,425 3.29 5.70
Entertainment 26,144 2.50 4.82
Cybersecurity (writing malware) 24,869 2.37 11.17
ChatGPT on social media 22,707 2.17 8.17
Finance 22,076 2.11 6.35
Healthcare 19,199 1.83 7.17
Emotional reaction (scary, insane) 16,375 1.56 4.20
Politics 13,931 1.33 5.48
Legal issues 11,377 1.09 5.89
Making money with ChatGPT 10,981 1.05 7.49
Social events on ChatGPT, discussion on media 9178 0.88 3.80
Recipes 8015 0.77 5.38
Calculator, math 7843 0.75 5.09
Climate change 7807 0.75 58.84
Job loss 7802 0.74 7.36
Criticism in terms of ethics 7769 0.74 5.13
Text to audio/voice 7143 0.68 5.08
Spam 6219 0.59 4.33
Sport 4828 0.46 4.33
Robots 4028 0.38 3.63
Religion, sermons 3821 0.36 4.71
Q&A platforms 3776 0.36 6.06
Christmas 3406 0.33 3.18
Translation 2787 0.27 4.11
Gender 2337 0.22 5.53
Real estate 2242 0.21 5.36
ChatGPT's competitors 2170 0.21 4.64
Quantum computing 1853 0.18 4.47
Outliers (small volume topics) 39,092 3.73 8.65

1,047,346 tweets used (i.e., English non-conversation tweets). Volume indicates the absolute number of tweets.

LLM large language models.