Table 2.
Odds ratio and 95% CI for tweets’ positive sentiment (vs. negative sentiment) by users’ characteristics
| Presadiretta | Virus | Total | |
|---|---|---|---|
| Recurrent (ref. ‘No’) | 3.26 (2.22–4.79) | 1.47 (0.951–2.27) | 2.59 (1.93–3.46) |
| Number of statuses (tens of tweets) | 1.12 (1.02–1.22) | 1.25 (0.854–1.83) | 1.06 (0.988–1.15) |
| % Tweetsa | 0.885 (0.862–0.909) | 0.928 (0.895–0.963) | 0.895 (0.876–0.914) |
| % Retweetsa | 1.21 (1.18–1.25) | 1.18 (1.13–1.23) | 1.2 (1.17–1.23) |
| % Repliesa | 0.84 (0.808–0.874) | 0.844 (0.807–0.883) | 0.845 (0.82–0.87) |
| % Tweets during broadcasta | 1.03 (0.999–1.06) | 0.865 (0.835–0.897) | 0.935 (0.915–0.954) |
| % Tweets after broadcasta | 0.974 (0.947–1) | 1.16 (1.12–1.2) | 1.07 (1.05–1.09) |
| User followersb | 1.95 (1.72–2.21) | 0.971 (0.802–1.18) | 1.68 (1.52–1.86) |
| User tweetsb | 1.61 (1.44–1.79) | 0.879 (0.732–1.05) | 1.46 (1.33–1.59) |
| User friendsb | 2.08 (1.8–2.41) | 1.14 (0.909–1.43) | 1.83 (1.63–2.06) |
a
The univariate analysis took into account change in odds for a 10% increase.
b
Change in odds for an unit increase on the log 10 scale.