Donald’s Followers Going Up and Up…

I looked at a dataset of all the Tweets from DJT's account timestamped between 04/11/2016 14:56 and 13/02/2017 22:30 (Washington DC time) in order to get an idea of the change in follower numbers (user_followers_count) in that period of time.

Sheffield Digital Humanities Congress 2016: #dhcshef 100 Most Frequent Terms

I made a collection of Tweets tagged with #dhcshef published publicly between Monday September 05 2016 at 17:54:58 +0000 and Saturday September 10 2016 at 23:37:06 +0000 and I write a little bit about it.

Libraries! Most Frequent Terms in #WLIC2016 Tweets (part IV)

    This is part IV. For necessary context, methodology, limitations, please see here (part 1),  here (part 2), and here (part 3). Since this was published and shared for the first time I may have done new edits. I often come back to posts once they have been published to revise them. --- Throughout … Continue reading Libraries! Most Frequent Terms in #WLIC2016 Tweets (part IV)

What’s in a Word? Most Frequent Terms in #WLIC2016 Tweets (part III)

An update on my work doing basic text analysis of a sample dataset of #WLIC2016 Tweets.

Most Frequent Terms in #WLIC2016 Tweets (part II)

Here's an edited list of the top 50 most frequent terms extracted from a cleaned dataset comprised of 10,721 #WLIC2016 Tweets published between Monday 15/08/2016 10:11:08 EDT and Wednesday 17/08/2016 07:16:35 EDT.

What Library Folk Live Tweet About: Most Frequent Terms in #WLIC2016 Tweets

I have looked at the text from 4,945 Tweets published with #WLIC2016 since 14/08/2016 until 15/08/2016 11:16:06 (EDT, Columbus Ohio time).

‘BBCDebate’ on Twitter. A First Look into an Archive of #BBCDebate Tweets

"The BBC's Great Debate" was broadcasted live in the UK by between 20:00 and 22:00 BST. I collected some of the Tweets tagged with #BBCDebate using a Google Spreadsheet. I have shared a dataset and share some insights from the data here.

“Stronger In”: Looking Into a Sample Archive of 1,005 StrongerIn Tweets

I have now shared a spreadsheet containing an archive of 1,005 @StrongerIn Tweets publicly published by the queried account between12/06/2016 13:34:35 and 21/06/2016 13:11:34 BST.

“Vote Leave”: Looking Into a Sample Archive of 1,100 vote_leave Tweets

As the date to vote in person approaches, I collected and shared a dataset of tweets published by the official Leave campaign Twitter account, @vote_leave, between 12/06/2016 09:06:22 - 21/06/2016 09:29:29 BST. The dataset contains 1,100 tweets.

Notes on Content Overload: Whose Filter Failure?

[Revised]. If there is content overload, whose responsibility is it to filter, and is filtering, as we have traditionally defined it, still really possible under the current infrastructures?