City Research Online

Abstract

The results from the REF 2014 were announced in the first minute of the 18th of december 2014. For information about the REF please click on the URL below this description text. Two main hashtags have been used to refer to it on Twitter; #REF and the more popular #REF2014. Approximately 31,855 #REF2014 Tweets were collected over 12 days between 8/12/2014 and 20/12/2014 GMT. Approximately 4,207 #REF Tweets were also collected over the same 12-day period but due to the ambiguity of the term a significant number were non-relevant to the topic (the UK Research Excellence Framework) and have not been included in this file. This file contains approximately 31,855 Tweets published publicly and tagged with #REF2014 for 12 days between 08/12/2014 11:18 and 20/12/2014 10:13 GMT This file 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. This is a.xlsx file that contains 3 sheets. 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. 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. Please note the data in this file is likely to require further refining and even deduplication. The data is shared as is. This dataset is shared to encourage open research into scholarly activity on Twitter. If you use or refer to this data in any way please cite and link back using the citation information above.

Publication Type:	Dataset
Publisher Keywords:	Assessment; rcuk; uk; twitter; funding; datasets; social media; #REF2014; #REF; hefce; Library and Information Studies
Subjects:	Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments:	School of Science & Technology > Computer Science > Human Computer Interaction Design

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