DOI: 10.6084/m9.figshare.3749367.v1
title: #WLIC2016 Most Frequent Terms Roundup (Figshare version)

description: <strong>I</strong>FLA stands for The International Federation of Library Associations and Institutions.
The IFLA World Library and Information Congress 2016
 and 2nd IFLA General Conference and Assembly, ‘Connections. 
Collaboration. Community’ is currently taking place (13–19 August 2016) 
at the Greater Columbus Convention Center (GCCC) in Columbus, Ohio, 
United States.
The official hashtag of the conference is #WLIC2016.<br><br>This spreadsheet contains the results of a text analysis of 22327 Tweets publicly labeled with #WLIC2016 between Sunday 14 and Thursday 18 August 2015.<br><br>The spreadsheet contains:<br><br>A sheet containing a table summarising the source archive <br><br>A sheet containing a table detailing tweet counts per day. <br><br>Sheets containing the 'raw' (no stop words, no manual refining) tables of top 300 most frequent terms and their counts for the Sun-Thu corpus and each individual corpus (1 per day).<br><br>Sheets containing the 'edited' (edited English stop word filter applied, manually refined) tables of top 50 Most frequent terms and their counts for the Sun-Thu corpus and each individual corpus (1 per day).<br><br>A sheet containing a comparison table of the top 50 per day.<br><br><br>---<br><br>Only Tweets published by accounts with at least one follower were included in the source archive. <br><br>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).<br><br>Apart from the filters and limitations already declared, it cannot be guaranteed that each and every 
Tweet tagged with #WLIC2016 during the indicated period was analysed. The dataset is shared for
 archival, comparative and indicative educational research purposes only.<br><br>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.<br><br>This dataset contains the results of analyses of Tweets that were published openly on the Web with the queried hashtag 
and are responsibility of the original authors. Original Tweets are 
likely to be copyright their individual authors but please check 
individually. <br><br>No private 
personal information is shared in this dataset. The collection and 
sharing of this dataset is enabled and allowed by Twitter's Privacy 
Policy. The sharing of this dataset complies with Twitter's Developer 
Rules of the Road. <br><br>This dataset is shared to archive, document and encourage open educational research into scholarly activity on Twitter. <br><br><b>Other Considerations</b><br><br>Tweets
 published publicly by scholars during academic conferences are often 
tagged (labeled) with a hashtag dedicated to the conference in question.<br><br>The
 purpose and function of hashtags is to organise and describe 
information/outputs under the relevant label in order to enhance the 
discoverability of the labeled information/outputs (Tweets in this 
case). <br><br>A hashtag is metadata users choose freely to use so their
 content is associated, directly linked to and categorised with the 
chosen hashtag. <br><br>Though every reason for Tweeters' use of 
hashtags cannot be generalised nor predicted, it can be argued that 
scholarly Twitter users form specialised, self-selecting public 
professional networks that tend to observe scholarly practices and 
accepted modes of social and professional behaviour. <br><br>In general 
terms it can be argued that scholarly Twitter users willingly and 
consciously tag their public Tweets with a conference hashtag as a means
 to network and to promote, report from, reflect on, comment on and 
generally contribute publicly to the scholarly conversation around 
conferences. As Twitter users, conference Twitter hashtag contributors 
have agreed to Twitter's Privacy and data sharing policies.   <br><br>Professional
 associations like the Modern Language 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 become unretrievable as time passes; Twitter's search API has 
well-known temporal limitations for retrospective historical search and 
collection.<br><br>Beyond individual tweets as scholarly outputs, the 
collective scholarly activity on Twitter around a conference or academic
 project or event can provide interesting insights for the contemporary 
history of scholarly communications. To date, collecting in real time is
 the only relatively accurate method to archive tweets at a small scale.
 <br><br>Though these datasets have limitations and are not thoroughly 
systematic, it is hoped they can contribute to developing new insights 
into the discipline's presence on Twitter over time.<br><br>The CC-0 license has been applied to the output in the repository as a 
curated dataset. <br><br>Authorial/curatorial/collection work has been 
performed on the file in order to 
make it available as part of the scholarly record. The data contained in
 the deposited file is otherwise freely available elsewhere through 
different methods. If this dataset is consulted attribution is always welcome.<br><br> <br><br><br>