Who Tweets about the Great Lakes?

Twitter is one way that I keep up to date on Great Lakes news. Might I be missing out on some good Great Lakes tweeters? I used the R package rtweet to investigate (see this vignette).

library(rtweet)
library(tidyverse)
library(RColorBrewer)
library(lubridate)

# look at the last ntwee
ntweets <- 18000
gltweets <- search_tweets('
  "#GreatLakes" OR "Great Lakes" OR
  "#LakeSuperior" OR "Lake Superior" OR
  "#LakeMichigan" OR "Lake Michigan" OR
  "#LakeHuron" OR "Lake Huron" OR
  "#LakeErie" OR "Lake Erie" OR
  "#LakeOntario" OR "Lake Ontario"', 
  n=ntweets, include_rts=FALSE, verbose=FALSE) 
goback <- signif(diff(range(gltweets$created_at)), digits=2)

First, I looked at the last 18,000 tweets that mentioned the Great Lakes. These tweets go back 8.1 days.

Then I counted up the number of Great Lakes tweets for each tweeter.

gltweeters <- gltweets %>%
  users_data() %>%
  count(screen_name, name, description, followers_count) %>%
  arrange(-n, -followers_count) %>%
  select(No.GL.tweets=n, Handle=screen_name, Name=name,
    Description=description, No.followers=followers_count)

library(DT)
datatable(gltweeters, rownames=FALSE)

Not as enlightening as I had hoped. I wanted to standardize the number of Great Lakes tweets by the total number of tweets from each person over the same time period, but I couldn’t figure out how to do that.