Table 4.
Emotion transmission among different user groups for four topics of which their overall sentiments polarity was negative.
Topics | Emotions | Bot-To-Human | Human-To-Bot | Bot-To-Bot | Human-To-Human | Total |
---|---|---|---|---|---|---|
COVID-19 in the US | sadness | 0.12 | 0.12 | 0.03 | 0.73 | 1 |
anger | 0.12 | 0.1 | 0.03 | 0.74 | 1 | |
anxiety | 0.07 | 0.12 | 0.02 | 0.79 | 1 | |
Health risks | sadness | 0 | 0.06 | 0 | 0.94 | 1 |
anger | 0 | 0.05 | 0 | 0.95 | 1 | |
anxiety | 0.05 | 0.06 | 0.01 | 0.88 | 1 | |
COVID-19 in China | sadness | 0.06 | 0.08 | 0.02 | 0.84 | 1 |
anger | 0.03 | 0.12 | 0.01 | 0.84 | 1 | |
anxiety | 0.01 | 0.12 | 0 | 0.87 | 1 | |
Economic impacts | sadness | 0.02 | 0.09 | 0.01 | 0.89 | 1 |
anger | 0.06 | 0.1 | 0.01 | 0.83 | 1 | |
anxiety | 0.04 | 0.11 | 0.01 | 0.84 | 1 |