A Data-Based Analysis of Trump’s Language on Twitter
All of these attacks can be placed into 6 main buckets. These include accusations of weakness, stupidity, failure, illegitimacy, corruption or fear-based attacks. Some examples are below.
1 — Weakness— ie. low, old, lightweight, losing, losers, ridiculous, poor, pathetic
eg. “The U.S. has pathetically weak and ineffective Immigration Laws that the Democrats refuse to help us fix.”
2 — Stupidity — ie. dopey, incompetent, clueless, moron
eg. “Paul Begala, the dopey @CNN flunky and head of the Pro-Hillary Clinton Super PAC, has knowingly committed fraud in his first ad against me.”
3 — Failure — ie. failing, failed, disaster
eg. “No wonder the @nytimes is failing — who can believe what they write after the false, malicious & libelous story they did on me.”
4 — Illegitimacy⁵ — ie. fake, false, biased, hoax, haters, unfair, a joke, rigged
eg. “Wow, sleepy eyes @chucktodd is at it again. He is do [sic] totally biased.”
5 — Corrupt — ie crooked
e.g “Big story out that the FBI ignored tens of thousands of Crooked Hillary Emails, many of which are REALLY BAD”
6 — Fear — ie. enemy, threat, radical
eg. “Many of the Syrian rebels are radical jihadi Islamists who are murdering Christians”
.. Looking at the dates of Trump’s tweets, we can see how much he has used the service over time. Believe it or not, Trump’s Twitter use has declined since he became president. It seems like it peaked in 2013 when he was A/B testing his Obama attacks and first dipping his toes in presidential politics.
.. We can also look at the times of day that Trump tweets the most. It seems that his Twitter use starts first thing in the morning and builds throughout the day, peaking around 3pm. A not-insignificant number of tweets are sent in the middle of the night too.