Table 5.
Results of correlation analysis between the deep content and the number of female TikTok fans.
| Index | Correlation analysis | Number of fans |
|---|---|---|
| Number of TikTok related to the subclass of | Pearson correlation | 0.346*** |
| jokes | Sig (bilateral) | 0.000 |
| Density of TikTok related to the subclass of | Pearson correlation | 0.185*** |
| jokes | Sig (bilateral) | 0.000 |
| Number of TikTok related to emotional | Pearson correlation | 0.211** |
| psychology | Sig (bilateral) | 0.000 |
| Density of TikTok related to emotional | Pearson correlation | 0.078 |
| psychology | Sig (bilateral) | 0.081 |
| Number of TikTok related to fashion | Pearson correlation | −0.021 |
| Sig (bilateral) | 0.641 | |
| Density of TikTok related to fashion | Pearson correlation | −0.062 |
| Sig (bilateral) | 0.169 | |
| Number of TikTok related to beauty | Pearson correlation | 0.045 |
| Sig (bilateral) | 0.316 | |
| Density of TikTok related to beauty | Pearson correlation | −0.002 |
| Sig (bilateral) | 0.968 | |
| Number of TikTok related to daily life | Pearson correlation | 0.038 |
| Sig (bilateral) | 0.400 | |
| Density of TikTok related to daily life | Pearson correlation | −0.103* |
| Sig (bilateral) | 0.021 | |
| Number of TikTok related to appearance and | Pearson correlation | 0.114* |
| figure | Sig (bilateral) | 0.010 |
| Density of TikTok related to appearance and | Pearson correlation | −0.092* |
| figure | Sig (bilateral) | 0.039 |
| Number of TikTok related to hobbies | Pearson correlation | −0.007 |
| Sig (bilateral) | 0.882 | |
| Density of TikTok related to hobbies | Pearson correlation | −0.063 |
| Sig (bilateral) | 0.159 | |
| Number of TikTok related to teaching | Pearson correlation | 0.011 |
| promotion | Sig (bilateral) | 0.803 |
| Density of TikTok related to teaching promotion | Pearson correlation | −0.023 |
| Sig (bilateral) | 0.609 | |
| Number of TikTok related to maternal and child | Pearson correlation | −0.012 |
| care | Sig (bilateral) | 0.781 |
| Density of TikTok related to maternal and child | Pearson correlation | −0.030 |
| care | Sig (bilateral) | 0.510 |
| Number of TikTok related to make-up and | Pearson correlation | 0.407*** |
| styling | Sig (bilateral) | 0.000 |
| Density of TikTok related to make-up and | Pearson correlation | 0.216*** |
| styling | Sig (bilateral) | 0.000 |
| Number of TikTok related to talent exhibition | Pearson correlation | 0.107* |
| Sig (bilateral) | 0.017 | |
| Density of TikTok related to talent exhibition | Pearson correlation | 0.024 |
| Sig (bilateral) | 0.585 | |
| Number of TikTok related to entertainment | Pearson correlation | 0.037 |
| gossip | Sig (bilateral) | 0.406 |
| Density of TikTok related to entertainment | Pearson correlation | 0.007 |
| gossip | Sig (bilateral) | 0.871 |
*
p < 0.05,
**
p < 0.01,
***
p < 0.001.