I share the 2018 Top 100 research outputs with 'comics' as a keyword according to Altmetric.
I used The Altmetric Explorer to locate any articles from the Journal of Digital Scholarlship in the Humanities that had had any 'mentions' online anytime. With the Open Access Button API we tried to locate open surrogates. Some insights are shared from the data.
Where I share insights into the sources used to tweet from the UK Labour and Conservatives Twitter accounts from an analysis of a sample of 500 recent tweets from each account.
No Trumpian Tweets coming from the Web Client since 25 January this year; no Tweets from Android since 25 March. Tweets from Twitter Ads have made an appearance alternating with Twitter for iPhone Tweets since 31st March. In the 18 days of May so far, the account has tweeted every single day, totalling 90 Tweets until the morning of the 18th of May.
I have just deposited the following data on figshare: Top 300 Terms in the Conservative and Labour Manifestos 2017 (Counts and Trends).
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. I discuss source counts, trends and implications for research.
I prepared a dataset from Twitter user with user_id_str 25073877 containing a total of 123 public Tweets and corresponding metadata between 15 February 2017 06:40:32 and 15 March 2017 08:14:20 Eastern Time.
I have archived 3,603 public Tweets from_user_id_str 25073877. I looked at the sources of those Tweets, and the top 50 most frequent terms per main source (iPhone and Android).
I made a collection of Tweets tagged with #TheDataDebates. What's the use?
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)
An update on my work doing basic text analysis of a sample dataset of #WLIC2016 Tweets.
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.