A #UXLibs Twitter Archive [17-19 March 2015] PriegoErnesto 2015 <p>UX Lib, User Experience in Libraries, was a three-day conference in Cambridge, UK. It took place on Tuesday 17, Wednesday 18 and Thursday 19 March 2015. (See links below).</p> <p>The official conference hashtag was #UXLibs (case not sensitive).</p> <p>This archive contains 4260 Tweets published publicly and tagged with #Uxlibs between 17/03/2015 03:09:36 and 19/03/2015 23:52:52 GMT.</p> <p>This .xlsx file contains 5 sheets and was created and shared by Ernesto Priego (Centre for Information Science, City University London) with a Creative Commons- Attribution license (CC-BY) for academic research and educational use. The Tweets contained in this file were collected using Martin Hawksey’s TAGS 6.0.</p> <p>Only users with at least 2 followers were included in the archive. Retweets have been included. An initial automatic deduplication was performed but data might require further deduplication.</p> <p>This dataset is shared as a scholarly resource to facilitate legitimate open data research into scholarly activity on Twitter, and complied with the current Twitter Developer Agreement and Policy at the time of its creation. </p> <p>The data included in this dataset is also publicly accessible via the Twitter Search API through Twitter Web and mobile clients; this means that unless individual Tweets or accounts were deleted after publication absolutely all the data included in this dataset is already publicly, freely, openly and easily accessible elsewhere via Twitter Search.</p> <p>Further reuse of this dataset is responsibility of the user and must comply with the current Twitter Developer Agreement and Policy.</p> <p>Please note that both research and experience show that the Twitter search API isn't 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" (González-Bailón, Sandra, et al. 2012). It is not guaranteed this file contains each and every Tweet tagged with the archived hashtag during the indicated period, and is shared for comparative and indicative educational and research purposes only.</p> <p>If you use or refer to this data in any way please cite and link back using the citation information above.</p>