Research Article
Exploring Links between Online Activism and Real-World Events: A Case Study of the #FeesMustFall
Table 5
Changes in the average sentiment.
| Date | Confidence interval (dd-mm-yy) | From | To | Confidence level (%) | Level |
| 23-12-2015 | (29-10-15, 31-12-15) | 0.027693 | 0.077219 | 98 | 7 | 04-01-2016 | (28-12-15, 11-01-16) | 0.077219 | 0.012388 | 98 | 6 | 27-01-2016 | (19-01-16, 11-03-16) | 0.012388 | −0.04478 | 100 | 9 | 20-03-2016 | (28-01-16, 21-04-16) | −0.04478 | −0.0052 | 99 | 5 | 24-04-2016 | (25-03-16, 08-05-16) | −0.0052 | 0.060491 | 98 | 7 | 11-05-2016 | (05-05-16, 15-05-16) | 0.060491 | −0.0997 | 100 | 8 | 23-05-2016 | (15-05-16, 31-05-16) | −0.0997 | 0.014568 | 97 | 7 | 20-09-2016 | (24-05-16, 29-09-16) | 0.014568 | −0.01755 | 96 | 8 | 10-10-2016 | (26-09-16, 30-01-17) | −0.01755 | −0.04232 | 100 | 3 | 01-02-2017 | (28-01-17, 11-02-17) | −0.04232 | 0.052568 | 96 | 4 | 24-03-2017 | (02-02-17, 03-04-17) | 0.052568 | 0.004263 | 100 | 5 |
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(Confidence level for candidate changes = 50%, confidence level = 95%, CI = 95%, bootstrap = 10 000, without replacement, MSE estimates).
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