Table 2.
Topics discussed by users with the chatbot identified by the Latent Dirichlet Allocation topic model and their prevalence.
| Theme and topic | Examples | Conversation blocks (N=6594), n (%) | |||
| Outbreak of COVID-19 |
|
1084 (16.4%) | |||
|
|
1. Spread of COVID-19 |
|
821 (12.4%) | ||
|
|
2. Wuhan |
|
263 (4.0%) | ||
| Preventive behaviors |
|
1665 (25.3%) | |||
|
|
3. Masks |
|
354 (5.4%) | ||
|
|
4. Avoidance |
|
324 (4.9%) | ||
|
|
5. Vaccines |
|
265 (4.0%) | ||
|
|
6. Lockdowns |
|
361 (5.5%) | ||
|
|
7. Social distancing |
|
361 (5.5%) | ||
| Physical and psychological impact of COVID-19 | 1052 (16.0%) | ||||
|
|
8. Fear |
|
375 (5.7%) | ||
|
|
9. Deaths |
|
310 (4.7%) | ||
|
|
10. Symptoms |
|
367 (5.6%) | ||
| People and life in the pandemic | 777 (11.7%) | ||||
|
|
11. Wishes |
|
146 (2.2%) | ||
|
|
12. Small talk |
|
385 (5.8%) | ||
|
|
13. Impact of COVID-19 on individuals |
|
246 (3.7%) | ||
| Questions on COVID-19 asked to the chatbot | 2016 (30.6%) | ||||
|
|
14. Current situation |
|
338 (5.1%) | ||
|
|
15. Awareness |
|
676 (10.3%) | ||
|
|
16. Quarantine tips |
|
290 (4.4%) | ||
|
|
17. Opinions |
|
384 (5.8%) | ||
|
|
18. Case and death counts |
|
328 (5.0%) | ||