Analysis of Temporal and Web Site References in History-related Tweets

Reference : Analysis of Temporal and Web Site References in History-related Tweets


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/37668

Title :	Analysis of Temporal and Web Site References in History-related Tweets
Language :	English
Author, co-author :	Sumikawa, Yasunobu [> >]
	Jatowt, Adam [> >]
	During, Marten [University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH) >]
Publication date :	2017
Main document title :	Proceedings of the 2017 ACM on Web Science Conference
Publisher :	ACM
Collection and collection volume :	WebSci '17
Pages :	419--420
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-1-4503-4896-6
City :	New York, NY, USA
Event name :	WebSci ’17, Troy, NY, USA
Event date :	June 25-28, 2017
Keywords :	[en] history ; collective memory ; social media analysis ; twitter
Abstract :	[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.
Research centres :	Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/37668
DOI :	10.1145/3091478.3098868
Other URL :	http://doi.acm.org/10.1145/3091478.3098868

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