Reference : Analysis of Temporal and Web Site References in History-related Tweets
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/37668
Analysis of Temporal and Web Site References in History-related Tweets
English
Sumikawa, Yasunobu [> >]
Jatowt, Adam [> >]
During, Marten mailto [University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH) >]
2017
Proceedings of the 2017 ACM on Web Science Conference
ACM
WebSci '17
419--420
Yes
No
International
978-1-4503-4896-6
New York, NY, USA
WebSci ’17, Troy, NY, USA
June 25-28, 2017
[en] history ; collective memory ; social media analysis ; twitter
[en] Having good knowledge and comprehension of history is believed to be important for a variety of reasons. In this paper we report the initial results of a large scale exploratory analysis of history-focused references in microblogs based on 11-months long snapshot of Twitter data. The results of this study can be used for designing content recommendation systems and can help to improve time aware search applications.
Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Researchers
http://hdl.handle.net/10993/37668
10.1145/3091478.3098868
http://doi.acm.org/10.1145/3091478.3098868

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
websci17_sumikawa_paper.pdfPublisher postprint638.75 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.