White House Press Sec. had a hard time explaining why @BarackObama supported tax breaks for oil companies in (cont) http://t.co/GvLfD5AY

Twitter Analysis

  • Posted using TwitLonger Beta.
  • Deep-learning probability that Mr. Trump wrote this: less than 2%
  • This tweet was probably written by staff.

Notes

This model really predicts the probability that this tweet is consistent with those posted with Android devices and inconsistent with those posted with iPhones up until Mr. Trump’s inauguration. The assumption in assigning authorship is that only Mr. Trump wrote those Android tweets and his staff wrote the others. Click here to learn how this all works.


I’ll be speaking at the first-ever National Achievers Congress at the San Jose Convention Center (San Jose, CA) (cont) http://t.co/1NhM5M48

Twitter Analysis

  • Posted using TwitLonger Beta.
  • Deep-learning probability that Mr. Trump wrote this: less than 2%
  • This tweet was probably written by staff.

Notes

This model really predicts the probability that this tweet is consistent with those posted with Android devices and inconsistent with those posted with iPhones up until Mr. Trump’s inauguration. The assumption in assigning authorship is that only Mr. Trump wrote those Android tweets and his staff wrote the others. Click here to learn how this all works.


Waste! With a $16T debt and $1T budget deficit, @BarackObama is sending $770M overseas “to fight global warming” http://t.co/op9x8BYl

Twitter Analysis

  • Posted using Twitter Web Client.
  • Deep-learning probability that Mr. Trump wrote this: less than 2%
  • This tweet was probably written by staff.

Notes

This model really predicts the probability that this tweet is consistent with those posted with Android devices and inconsistent with those posted with iPhones up until Mr. Trump’s inauguration. The assumption in assigning authorship is that only Mr. Trump wrote those Android tweets and his staff wrote the others. Click here to learn how this all works.


@MittRomney studying ways to increase pressure on China over their currency manipulation and unfair subsidy practices http://t.co/34Wzc9Xo

Twitter Analysis

  • Posted using Twitter Web Client.
  • Deep-learning probability that Mr. Trump wrote this: less than 2%
  • This tweet was probably written by staff.

Notes

This model really predicts the probability that this tweet is consistent with those posted with Android devices and inconsistent with those posted with iPhones up until Mr. Trump’s inauguration. The assumption in assigning authorship is that only Mr. Trump wrote those Android tweets and his staff wrote the others. Click here to learn how this all works.


It was great seeing @MissUniverse and @MissTeenUSA yesterday- http://t.co/SOUildaR

Twitter Analysis

  • Posted using Twitter Web Client.
  • Deep-learning probability that Mr. Trump wrote this: less than 2%
  • This tweet was probably written by staff.

Notes

This model really predicts the probability that this tweet is consistent with those posted with Android devices and inconsistent with those posted with iPhones up until Mr. Trump’s inauguration. The assumption in assigning authorship is that only Mr. Trump wrote those Android tweets and his staff wrote the others. Click here to learn how this all works.