Research Article
The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing
Table 8
BBC news (UK) tweet and user tweet dataset descriptives, by epoch.
| Emotion | Epoch | BBC news tweets | Corresponding user tweets | | Mean (SD) | | Mean (SD) |
| Anger | 1 | 670 | .176 (.005) | 34054 | .487 (.002) | 2 | 2463 | .176 (.004) | 184954 | .507 (.0008) | 3 | 1841 | .184 (.004) | 133330 | .516 (.0009) | 4 | 4533 | .204 (.003) | 399359 | .524 (.0005) |
| Joy | 1 | 670 | .089 (.005) | 34054 | .117 (.001) | 2 | 2463 | .102 (.003) | 184954 | .127 (.0006) | 3 | 1841 | .109 (.004) | 133330 | .127 (.0007) | 4 | 4533 | .124 (.003) | 399359 | .120 (.0004) |
| Optimism | 1 | 670 | .154 (.007) | 34054 | .145 (.001) | 2 | 2463 | .171 (.004) | 184954 | .139 (.0005) | 3 | 1841 | .163 (.004) | 133330 | .138 (.0005) | 4 | 4533 | .226 (.003) | 399359 | .140 (.0003) |
| Sadness | 1 | 670 | .251(.010) | 34054 | .251 (.001) | 2 | 2463 | .285 (.006) | 184954 | .226 (.0006) | 3 | 1841 | .277 (.006) | 133330 | .219 (.0007) | 4 | 4533 | .291 (.004) | 399359 | .216 (.0004) |
|
|