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Analysis of Temporal and Web Site References in History-related Tweets
Sumikawa, Yasunobu; Jatowt, Adam; During, Marten
2017In Proceedings of the 2017 ACM on Web Science Conference
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Keywords :
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 center :
- Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Disciplines :
Computer science
Author, co-author :
Sumikawa, Yasunobu
Jatowt, Adam
During, Marten  ;  University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH)
External co-authors :
yes
Language :
English
Title :
Analysis of Temporal and Web Site References in History-related Tweets
Publication date :
2017
Event name :
WebSci ’17, Troy, NY, USA
Event date :
June 25-28, 2017
Audience :
International
Main work title :
Proceedings of the 2017 ACM on Web Science Conference
Publisher :
ACM, New York, NY, USA, Unknown/unspecified
ISBN/EAN :
978-1-4503-4896-6
Collection name :
WebSci '17
Pages :
419--420
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 08 December 2018

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