Table 2.
Estimated treatment effect of framing on click-through behavior
| Treatment Effects | Moderated Treatment Effects | ||||||
|---|---|---|---|---|---|---|---|
| No Interaction No cov. Adjustment | Interaction No cov. Adjustment | Interaction cov. Adjustment | Interaction cov. Adjustment | Conditional on Gender | Conditional on Regional Party Affiliation | Conditional on Regional Smoky Days | |
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
| Narrative | 0.225*** | 0.206*** | 0.215*** | 0.214*** | 0.249*** | 0.198*** | 0.329*** |
| [0.2, 0.25] | [0.171, 0.241] | [0.18, 0.251] | [0.178, 0.25] | [0.205, 0.292] | [0.159, 0.237] | [0.258, 0.4] | |
| EDU Messenger | 0.022 | 0.001 | 0.003 | 0.006 | 0.003 | − 0.001 | 0.006 |
| [−0.003, 0.046] | [− 0.036, 0.038] | [− 0.034, 0.04] | [− 0.031, 0.043] | [− 0.035, 0.039] | [− 0.041, 0.04] | [− 0.031, 0.044] | |
| Narrative*EDU | – | 0.038 | 0.032 | 0.022 | 0.032 | 0.022 | 0.021 |
| [−0.011, 0.087] | [−0.018, 0.082] | [− 0.028, 0.073] | [− 0.018, 0.082] | [−0.028, 0.072] | [− 0.029, 0.072] | ||
| Narrative*Female | – | – | – | – | −0.067** | – | – |
| [−0.116, − 0.017] | |||||||
| Narrative*Republican | – | – | – | – | – | 0.053 | – |
| [−0.001, 0.108] | |||||||
| EDU*Republican | – | – | – | – | – | 0.022 | – |
| [−0.032, 0.077] | |||||||
| Narrative*Smoky Days | – | – | – | – | – | – | −0.003*** |
| [−0.004, − 0.001] | |||||||
| Intercept | −4.374 | −4.363 | −4.495 | −5.113 | −4.514 | −5.1 | −5.176 |
| Covariate: Age | No | No | Yes | No | Yes | No | No |
| Covariate: Gender | No | No | Yes | No | Yes | No | No |
| Covariate: Party Affiliation | No | No | No | Yes | No | Yes | Yes |
| Covariate: Reginal Smoky Days | No | No | No | Yes | No | Yes | Yes |
| Observations | 1,838,100 | 1,838,100 | 1,801,959 | 1,789,380 | 1,801,948 | 1,789,380 | 1,789,380 |
Estimated treatment effect of framing on click-through behavior, and estimated treatment effects conditional on gender, regional party affiliation, and regional smoky days. The estimated effect is the change in the log odds of click-through behavior (CTB). Logistic regression estimation. Dependent variable is the CTB. The odds of CTB can be measured as CTR/(1-CTR), where CTR is the click-through rate. 95% confidence intervals in brackets. * p < 0.05, ** p < 0.01, *** p < 0.001