Table 3.
Top-Ten Most Frequent Words of the COVID-19 Misinformation
| Keyword | Frequency (Count) | Weight | |
|---|---|---|---|
| 1 | Prevention | 58 | 0.8437 |
| 2 | Infection | 53 | 0.8391 |
| 3 | Mask | 48 | 0.8752 |
| 4 | Wuhan | 42 | 0.8143 |
| 5 | Therapy | 27 | 0.7631 |
| 6 | Disinfection | 25 | 0.7724 |
| 7 | American | 25 | 0.7399 |
| 8 | Patient | 20 | 0.7389 |
| 9 | School start | 18 | 0.7286 |
| 10 | Zhong Nanshan | 18 | 0.7312 |
Notes: p<0.01. Following instructions of the online software, the algorithm of “weight” is jointly determined by word frequency, resolving the power of words, and the level of semantic aggregation. Data came from Real-Time Rumors Refuting of the Novel Coronavirus Pneumonia.35 The online software is accessible via http://www.picdata.cn/.