Predictors of gun-related tweets by members of the US Congress.

Odds ratios (ORs) with 95% confidence intervals (CIs) are presented. Results are based on mixed-effects logistic regression models with random intercepts for each member of Congress. Predictors are considered statistically significant if their p value is <0.050. Model 1 includes contemporaneous variables using the number of fatalities; Model 2 includes both contemporaneous and lagged variables using the number of fatalities; Model 3 includes both contemporaneous and lagged variables using total fatalities across all incidents. Location variable indicates whether the most lethal shooting event on the day occurred in the member’s state. Political affiliation is coded as one for Democrats and zero for Republicans. We additionally controlled for the race/ethnicity of the Congress members across all models.