Table 2.
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.