Intro

Something something something http://rmarkdown.rstudio.com.

Something something Kenosha button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

Volume of tweets

Tweets mentioning words like ‘Kenosha’, ‘BLM’, ‘Blake’ and ‘Rittenhouse’ peaked late at night on 8/26. At their peak, they topped 12k tweets per hour – nearly 5 tweets per second. More than 458,000 unique accounts tweeted mentions of these words.

## # A tibble: 458,811 x 2
##    screen_name         n
##    <chr>           <int>
##  1 INeedAnyone1      889
##  2 PulpNews          708
##  3 Jim43520096       626
##  4 USSANews          553
##  5 Kenosha_News      481
##  6 mathewsjw         413
##  7 AIIAmericanGirI   398
##  8 thehill           366
##  9 TunitupRadio      345
## 10 JDMarvin          313
## # … with 458,801 more rows

Breaking news

Around 11pm on 8/25, rumors that shots had been fired in Kenosha began circulating on Twitter, backed up by video evidence picked up by livestreamers. News outlets confirmed the deaths shortly after midnight, but not before one right-wing Twitter user admonished them for ignoring the story.

Who became influencers in the 24 hours after the shooting?

What about afterwards?

Get subset of tweets made post-Rittenhouse shooting

Nearly 3,000 Twitter accounts that mentioned words like Kenosha or socialist were created after the Rittenhouse shooting.