Gauging US Politics with Reddit

Reddit is an entertainment, social networking, and news site where registered users can vote submissions up or down in a bulletin board-like fashion . Content entries are organized by areas of interest called “subreddits.” This post uses subreddits /r/Republican and /r/Democrats to analyze US Politics as of July 22, 2015.

Thanks to Dr. Randal Olson and his reddit-analysis script, we crawled /r/Republican and /r/Democrats. Making word clouds, we visualize word frequency, largest to smallest by count.

/r/Republican

redditrepublicanwordcloud

/r/Democrats

redditdemocratswordcloudThe word clouds provide a high level view of the subreddits. Now let’s dive in to gain insight!

/r/Republican has 16,942 readers, and /r/Democrats has 15,152.

During the timespan 6/22/15 – 7/22/15, 86,609 words appeared in /r/Republican and 73,156 words appeared in /r/Democrats. We will compare word frequency as % of total. In the event of significant difference, the greater of the two will be bolded.

/r/Republican % of total /r/Democrats % of total
“Good” 0.11 0.20
“Bad” 0.06 0.10
 /r/Republican % of total  /r/Democrats % of total
“Love” 0.05 0.05
“Hate” 0.05 0.05
 /r/Republican % of total   /r/Democrats % of total
“GOP” 0.07 0.27
“Fox” 0.02 0.08
 /r/Republican % of total  /r/Democrats % of total
“Trump” 0.30 0.15
“Hillary” 0.07 0.28
  /r/Republican % of total  /r/Democrats % of total
“Obama” 0.12 0.18
“Bush” 0.07 0.13
 /r/Republican % of total  /r/Democrats % of total
“Country” 0.11 0.14
“States” 0.14 0.07
 /r/Republican % of total  /r/Democrats % of total
“Students” 0.04 0.00
“School” 0.04 0.02
 /r/Republican % of total  /r/Democrats % of total
“Gay” 0.06 0.09
“Marriage” 0.10 0.13
 /r/Republican % of total  /r/Democrats % of total
“Inequality” 0.01 0.02
“Equality” 0.00 0.03
 /r/Republican % of total  /r/Democrats % of total
“White” 0.06 0.10
“Black” 0.04 0.04
 /r/Republican % of total  /r/Democrats % of total
“Health” 0.02 0.10
“Insurance” 0.03 0.05
 /r/Republican % of total  /r/Democrats % of total
“Workers” 0.02 0.04
“Unions” 0.05 0.01
 /r/Republican % of total  /r/Democrats % of total
“Gun” 0.05 0.04
“Control” 0.03 0.10
 /r/Republican % of total  /r/Democrats % of total
“Minimum” 0.02 0.06
“Wage” 0.02 0.08
 /r/Republican % of total  /r/Democrats % of total
“Church” 0.06 0.01
“Religion” 0.01 0.01

While we’ll let you come to your own conclusions, here are the insights we found surprising:

  • Greater Frequency of “GOP” and “Fox” in /r/Democrats
  • Greater Frequency of “Students” in /r/Republicans
  • Greater Frequency of “White” in /r/Democrats
  • Greater Frequency of “Union” in /r/Republicans

That’s it for now. Please comment with additional insights or reach out directly at:

andrewshamlet@gmail.com

Part 3: Most common words used in tweets by Taylor Swift, Katy Perry, and Britney Spears

Hi there! For part 3, we will use visualization to analyze the most common words used in tweets among Taylor Swift, Katy Perry, and Britney Spears. In Part 1, we noted a favorite bias among entertainers. That is, entertainers receive more favorites than retweets. A clue to the favorite bias may lie in word choice. Let’s see.

Taylor Swift:

taylorswift_copyright

Katy Perry:

katyperrycopyright

Britney Spears:

britneyspearscopyright

Each visualization displays the most common words, by usage, for the respective twitter profiles during June 2015. The more often a word is used, the larger the word is displayed.

“Love” and “Day”/”Today” appear in large typeface on all three. Furthermore, the sense of temporality is evident among all three. We see words such as new, now, hour, tonight, and night.

Based on our findings, followers of Taylor Swift, Katy Perry, and Britney Spears receive strong messages of Love Now/Today/Tonight. There’s positive sentiment in these message, followed by an implicit call to action.

Once again, the charts from part 1.

Twitter10TenJune2015RetweetFavorite_v4

monthlyaverageretweettable_V2