Jisc's Digifest 2016 took place in Birmingham 2-3 March 2016. The official hashtag was #digitest16.
This is a .csv file containing 12,499 tweets publicly published with the hashtag #digifest16.
The Tweets contained in this file were collected by Ernesto Priego using Martin Hawksey's TAGS 6.0.
Only
users with at least 3 followers were included in the archive. Retweets
have been included. Data might require refining and deduplication.
Please
note that both research and experience show that the Twitter search API
is not 100% reliable. Large Tweet volumes affect the search collection
process. The API might "over-represent the more central users", not
offering "an accurate picture of peripheral activity" (Gonzalez-Bailon,
Sandra, et al. 2012). It cannot be guaranteed this file contains each
and every Tweet tagged with #digifest16 during the indicated
period, and is shared for comparative and indicative educational
research purposes only.
The data is shared as is. The sharing of this dataset complies with Twitter's Developer Rules of the Road.
Only
content from public accounts is included and was obtained from the
Twitter Search API. The shared data is also publicly available to all
Twitter users via the Twitter Search API and available to anyone with an
Internet connection via the Twitter and Twitter Search web client and
mobile apps without the need of a Twitter account.
The profile_image_url and entities_str metadata were removed before public sharing.
Each
Tweet and its contents were published openly on the Web with the
queried hashtag and are responsibility of the original authors.
Tweets published publicly by scholars during academic conferences
are often tagged (labeled) with a hashtag dedicated to the conference in
question. The purpose of the hashtag is to organise and describe
information under the relevant label. Those tagging their public tweets
with a conference hashtag do so as a means to contribute to the
scholarly conversation around conferences. Professional associations
like the Modern Langauge Association recognise tweets as citeable
scholarly outputs. Archiving scholarly tweets is a means to preserve
this form of rapid online scholarship that otherwise can very likely
disappear as the time of the conference passes as Twitter's search API
has known temporal limitations for retrospective historical search and
collection. To date, collecting in real time is the only relatively
accurate method to archive tweets at a small scale.
No sensitive information is contained in this dataset.
This
dataset is shared to archive, document and encourage open educational
research into scholarly activity on Twitter.