2014 Electronic Literature Organization Conference. An #elo14 Archive
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
The 2014 Electronic Literature Organization Conference took place 17-21 June 2014 in Milwaukee, Wisconsin, USA.
Though the home page did not feature an official hashtag prominently it seemed that the one most users were using was #elo14.
This .XLS file contains an archive of Tweets tagged with #elo14 (case not sensitive).
If you use or refer to this data in any way please cite and link back using the following citation information:
Priego, Ernesto. 2014: 2014 Electronic Literature Organization Conference. An #elo14 Archive. figshare.
Please make sure you are using the latest version of this file.
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.
This archive contains 2166 Tweets dated between 18/06/2014 23:15:16 and 21/06/2014 23:51:34. Times (column E) are Central Time Zone (UTC-06:00).
This file includes 7 sheets. The first sheet is this 'Cite Me' sheet, including procedence of this file, citation information, information about its contents, the methods employed and some context, followed by a sheet containing the Tweets dated 17-21 June 2014 and then one sheet per conference day.
To avoid spam only users with at least 2 followers were included in the archive. Retweets have been included.
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). Therefore, it cannot be guaranteed this file contains each and every tweet tagged with #elo14 during the indicated period.
Some deduplication and refining has been performed on the individual day sheets to avoid spam tweets and duplication. Some characters in some tweets' text might not have been decoded correctly.
Please note the data in this file is likely to require further refining and even deduplication. The data is shared as is. If you use or refer to this data in any way please cite and link back using the citation information above.
All the data collected in this small dataset was willingly made freely, openly and publicly available online by users via Twitter and therefore was and still is openly and freely available through several other methods and services. It has been shared here in a curated form for educational and research use and no copyright or privacy infringement is intended or should be inferred.
The tweets contained in this file were collected using Martin Hawksey’s TAGS 5.1.