We did a quick comparison of two datasets: tweets containing #SethRich/"Seth Rich" and tweets related to the special counsel investigation (tweets containing "special counsel", "Trump", and either "Putin" or "Russia". Let's dig in. . .
Here is the weekly tweet volume for #SethRich/"Seth Rich", colored by account age and labeled with the dates of several notable events. It's very spiky - and note that several of the spikes correlate with key moments in the Mueller investigation. 
For the sake of comparison, here is the same figure for the tweets related to the special counsel investigation. The volume is much less spiky, and new accounts are less prevalent. There are also a few tweets prior to the 2016 election; we'll revisit that in a future thread.
Finally, we used tweets containing "horse" as a control group to validate the comparison of the account age distribution in the two test sets. The special counsel investigation set is similar to the control group, and the #SethRich set is skewed in favor of newer accounts.
(note that for the sake of this thread, account age is measured from the date of the account's first tweet in the dataset, not the present day).
Much appreciation to @ZellaQuixote for aid with direction and visualization design for this project.
