Twista – An Application for the Analysis and Visualization of Tailored Tweet Collections - University of Regensburg Publication Server

URN to cite this document:: urn:nbn:de:bvb:355-epub-357116

Spanner, Sebastian ; Burghardt, Manuel

; Wolff, Christian

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Date of publication of this fulltext: 09 Jun 2017 13:06

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Item type:	Book section
ISBN:	978-3-86488-081-0
Title of Book:	Re:inventing information science in the networked society : proc. of the 14th Int. Symposium on Information Science (ISI 2015), Zadar, Croatia, 19th - 21st May 2015
Publisher:	Hülsbusch
Place of Publication:	Glückstadt
Other Series:	Schriften zur Informationswissenschaft
Volume:	66
Page Range:	pp. 191-202
Date:	2015
Institutions:	Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff) Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Keywords:	Twitter, Social media analysis, Big data, Information visualization
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	35711

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Abstract

Social media services like Twitter churn out user-generated content in vast amounts. The massive availability of this kind of data demands new forms of analysis and visualization, to make it accessible and interpretable. In this article, we introduce Twista, an application that can be used to create tailored tweet collections according to specific filter criteria, such as the occurrence of ...