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I am looking forward to participating in the event titled “Digital Humanities/Humanidades Digitales/Informatica Umanistica. An Intercultural Dialogue” that will take place on Thursday 20 April 2017 in Rome, at the Political Science Department of the Università degli Studi Roma Tre.

L ast month I took a quick look at a month’s worth of Trumpian tweetage (user ID 25073877)  using text analysis. Using a similar methodology I have now prepared and shared a CSV file containing Tweet IDs and other metadata of 3,805 Tweets  from user ID 25073877 posted publicly between Thursday February 25  2016 16:35:12 +0000  to Monday April 03 2017 12:51:01 +0000.

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W hat’s in a month’s worth of presidential tweetage? I prepared a dataset containing a total of 123 public Tweets and corresponding metadata from user_id_str 25073877 between 15 February 2017 06:40:32 and 15 March 2017  08:14:20 Eastern Time (this figure does not factor in any tweets the user may have deleted shortly after publication). Of the 123 Tweets 68 were published from Android; 55 from iPhone.

I have archived 3,603 public Tweets from_user_id_str 25073877 published between 27/02/2016 00:06 and 27/02/2017 12:06 (GMT -5, Washington DC Time). This is almost exactly a year’s worth of Tweets from the account in question. Eight source types were detected in the dataset. Most of the Tweets were published either from iPhone (46%) or an Android (45%). The Tweet counts per source are as follows:

I n the context of popular calls to unfollow it (there’s a hashtag too), I  thought it would be interesting to look at how the number of followers of said Twitter account has been changing recently.

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