Table 2.
Bayesian correlation results (r, Bayes Factors10) between Twitter topics and vaccine attitudes and vaccination in all waves.
Topic probability | September–October |
October–November |
November–February |
February–March |
April–May |
||||
---|---|---|---|---|---|---|---|---|---|
N = 1591–1662 |
N = 1591–1662 |
N = 1591–1662 |
N = 1591–1662 |
N = 881–1091 |
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Vaccine attitude | Vaccination | Vaccine attitude | Vaccination | Vaccine attitude | Vaccination | Vaccine attitude | Vaccination | Vaccination | |
September-October | |||||||||
Negative Vaccine Consequences | 0.03, 0 | −0.03, 0 | 0.02, 0 | 0, 0 | 0.01, 0 | −0.01, 0 | 0.01, 0 | 0, 0 | −0.01, 0 |
Vaccines Protect Children | −0.01, 0 | 0.01, 0 | −0.04, 0 | −0.04, 0 | −0.01, 0 | 0, 0 | 0.01, 0 | 0.02, 0 | 0.03, 0 |
Immunization Contributes to Global Health | 0.01, 0 | 0.06, 1 | 0, 0 | −0.01, 0 | −0.02, 0 | −0.02, 0 | −0.03, 0 | −0.02, 0 | −0.04, 0 |
Vaccine Fraud and Children | 0.01, 0 | −0.02, 0 | 0.02, 0 | 0.02, 0 | 0, 0 | 0.03, 0 | 0.03, 0 | 0.04, 0 | 0.03, 0 |
Prevention Disease | 0.05, 0 | −0.04, 0 | 0.04, 0 | 0.04, 0 | 0.03, 0 | 0.02, 0 | 0.01, 0 | 0, 0 | −0.01, 0 |
Doctors Vaccinating Children | −0.05, 0 | 0, 0 | −0.02, 0 | −0.05, 0 | −0.05, 0 | −0.07, 1 | −0.03, 0 | −0.06, 0 | −0.05, 0 |
Big Pharma | −0.01, 0 | 0.05, 0 | 0, 0 | 0, 0 | 0, 0 | 0.03, 0 | −0.03, 0 | 0, 0 | 0.01, 0 |
Anti-Vaccine Story | 0, 0 | −0.03, 0 | −0.03, 0 | 0.03, 0 | −0.01, 0 | 0.02, 0 | −0.02, 0 | 0.01, 0 | 0.01, 0 |
Vaccine Science Matters | 0, 0 | 0.02, 0 | 0.01, 0 | 0.01, 0 | 0.01, 0 | 0.01, 0 | 0, 0 | 0.01, 0 | 0.01, 0 |
Fighting the Flu during the Flu Season | 0.02, 0 | 0.01, 0 | 0.04, 0 | 0.07, 1 | 0.07, 1 | 0.07, 1 | 0.08, 1 | 0.08, 1 | 0.08, 1 |
October-November | |||||||||
Negative Vaccine Consequences | 0.03, 0 | 0.02, 0 | 0.04, 0 | 0.06, 0 | 0.02, 0 | 0.05, 0 | 0.05, 0 | ||
Vaccines Protect Children | 0, 0 | −0.04, 0 | 0.01, 0 | 0, 0 | 0, 0 | 0, 0 | −0.01, 0 | ||
Immunization Contributes to Global Health | −0.02, 0 | −0.01, 0 | −0.02, 0 | −0.03, 0 | −0.04, 0 | −0.04, 0 | −0.06, 0 | ||
Vaccine Fraud and Children | 0.05, 0 | 0.05, 0 | 0.07, 0 | 0.06, 0 | 0.08, 0 | 0.08, 0 | 0.08, 0 | ||
Prevention Disease | −0.01, 0 | 0.01, 0 | 0, 0 | −0.02, 0 | 0, 0 | −0.01, 0 | −0.02, 0 | ||
Doctors Vaccinating Children | 0.03, 0 | 0.06, 0 | 0.05, 0 | 0.08, 0 | 0.08, 0 | 0.06, 0 | 0.07, 0 | ||
Big Pharma | 0.02, 0 | −0.02, 0 | 0.02, 0 | −0.02, 0 | 0.03, 0 | 0.02, 0 | 0.02, 0 | ||
Anti-Vaccine Story | −0.02, 0 | 0.01, 0 | −0.02, 0 | −0.03, 0 | −0.02, 0 | −0.04, 0 | −0.05, 0 | ||
Vaccine Science Matters | 0, 0 | −0.03, 0 | −0.01, 0 | −0.05, 0 | −0.04, 0 | −0.06, 0 | −0.04, 0 | ||
Fighting the Flu during the Flu Season | −0.04, 0 | −0.03, 0 | −0.07, 0 | −0.05, 0 | −0.09, 0 | −0.06, 0 | −0.05, 0 | ||
November–February | |||||||||
Negative Vaccine Consequences | −0.06, 0 | −0.05, 0 | −0.05, 0 | −0.06, 0 | −0.06, 0 | ||||
Vaccines Protect Children | 0.04, 0 | 0, 0 | 0.05, 0 | 0, 0 | 0, 0 | ||||
Immunization Contributes to Global Health | 0.03, 0 | 0.04, 0 | 0.01, 0 | 0.04, 0 | 0.05, 0 | ||||
Vaccine Fraud and Children | −0.06, 1 | −0.06, 1 | −0.05, 0 | −0.07, 1 | −0.06, 0 | ||||
Prevention Disease | 0.01, 0 | 0.01, 0 | 0.02, 0 | 0.01, 0 | 0.01, 0 | ||||
Doctors Vaccinating Children | −0.01, 0 | 0.01, 0 | −0.04, 0 | −0.01, 0 | −0.02, 0 | ||||
Big Pharma | 0.03, 0 | −0.01, 0 | 0.05, 0 | 0, 0 | 0.01, 0 | ||||
Anti-Vaccine Story | −0.03, 0 | −0.02, 0 | −0.04, 0 | −0.03, 0 | −0.04, 0 | ||||
Vaccine Science Matters | 0.06, 1 | 0.01, 0 | 0.09, 3* | 0.02, 0 | 0.01, 0 | ||||
Fighting the Flu during the Flu Season | −0.01, 0 | 0.03, 0 | −0.01, 0 | 0.05, 0 | 0.05, 0 | ||||
February–March | |||||||||
Negative Vaccine Consequences | −0.02, 0 | −0.03, 0 | −0.01, 0 | ||||||
Vaccines Protect Children | 0.05, 0 | 0.05, 0 | 0.05, 0 | ||||||
Immunization Contributes to Global Health | 0.05, 0 | 0.05, 0 | 0.05, 0 | ||||||
Vaccine Fraud and Children | 0.01, 0 | −0.01, 0 | 0.01, 0 | ||||||
Prevention Disease | −0.07, 0 | −0.04, 0 | −0.01, 0 | ||||||
Doctors Vaccinating Children | 0.01, 0 | −0.02, 0 | −0.02, 0 | ||||||
Big Pharma | −0.1, 6* | −0.06, 0 | −0.05, 0 | ||||||
Anti-Vaccine Story | −0.02, 0 | −0.06, 0 | −0.06, 0 | ||||||
Vaccine Science Matters | −0.01, 0 | 0.02, 0 | 0.01, 0 | ||||||
Fighting the Flu during the Flu Season | 0.01, 0 | 0.04, 0 | 0.02, 0 |
* BF10 > 3.2, ** BF10 > 10, *** BF10 > 32, **** BF10 > 100.