Identified 9254 hashtags that included these keywords. Then manually removed 374 clearly unrelated ones, leaving 8880 hashtags (see `src-v02-tags/hashtags_relevant.csv`)
```r
keywords = {
"canada",
"trucker",
"convoy",
"protest",
"freedom",
"truck",
"trudeau",
"resign",
"honk",
"nojab",
"ottawa",
"holdtheline",
"mandate",
"tamaralich",
"occup",
"siege",
}
# example excluded ones: nhsmandate, aircanada, jacinda, educationfreedom, trudeauisgreatleader
```
# model and results
- fixed effects day and block
- DV: count of hashtags
```r
term estimate std.error statistic p.value
1: conditionC -0.0138 0.0094 -1.4779 0.1395
2: t0SC 1.0372 0.0042 248.0533 0.0000
3: conditionC:t0SC 0.0077 0.0044 1.7531 0.0797
```