Social media analytics: An interdisciplinary approach and its implications for information systems

Stieglitz, Stefan, Dang-Xuan, Linh, , & Neuberger, Christoph (2014) Social media analytics: An interdisciplinary approach and its implications for information systems. Business and Information Systems Engineering, 6(2), pp. 89-96.

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Description

Social Media Analytics is an emerging interdisciplinary research field that aims on combining, extending, and adapting methods for analysis of social media data. On the one hand it can support IS and other research disciplines to answer their research questions and on the other hand it helps to provide architectural designs as well as solution frameworks for new social media-based applications and information systems. The authors suggest that IS should contribute to this field and help to develop and process an interdisciplinary research agenda.

Impact and interest:

210 citations in Scopus
131 citations in Web of Science®
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ID Code: 69580
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Bruns, Axelorcid.org/0000-0002-3943-133X
Measurements or Duration: 8 pages
Keywords: big data, information systems, research methods, social media, social media analytics
DOI: 10.1007/s12599-014-0315-7
ISSN: 1867-0202
Pure ID: 32685987
Divisions: Past > QUT Faculties & Divisions > Creative Industries Faculty
Past > Research Centres > ARC Centre of Excellence for Creative Industries and Innovation
Funding:
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 01 Apr 2014 00:02
Last Modified: 07 Aug 2024 11:37