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


Autoria(s): Stieglitz, Stefan; Dang-Xuan, Linh; Bruns, Axel; Neuberger, Christoph
Data(s)

02/02/2014

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/69580/

Publicador

Springer

Relação

http://eprints.qut.edu.au/69580/1/art%253A10.1007%252Fs12599-014-0315-7.pdf

DOI:10.1007/s11576-014-0407-5

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

http://purl.org/au-research/grants/ARC/DP1094281

Direitos

Copyright 2014 Springer

Fonte

ARC Centre of Excellence for Creative Industries and Innovation; Creative Industries Faculty; School of Media, Entertainment & Creative Arts

Palavras-Chave #200101 Communication Studies #200102 Communication Technology and Digital Media Studies #200104 Media Studies #social media analytics #social media #big data #research methods #information systems
Tipo

Journal Article