Using semiotics to analyze representational complexity in social media

Abdalla Mikhaeil, Christine; Baskerville, Richard

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1016/j.infoandorg.2019.100271

Title :

Using semiotics to analyze representational complexity in social media

Author(s) :

Abdalla Mikhaeil, Christine [Auteur]
Lille économie management - UMR 9221 [LEM]
Dauphine Recherches en Management [DRM]
Baskerville, Richard [Auteur]
Georgia State University

Journal title :

Information and Organization

Pages :

100271

Publisher :

Elsevier

Publication date :

2019-12

ISSN :

1471-7727

English keyword(s) :

Semiotics
Critical realism
Qualitative research
Data analysis
Representational complexity

HAL domain(s) :

Sciences de l'Homme et Société/Gestion et management

English abstract : [en]

Data from social media offer us multimedia data brimming with multiple layers of meanings. Social media enable rapid-fire digital communications. These communications are incredibly complex in content, form and meaning. ...
Show more >Data from social media offer us multimedia data brimming with multiple layers of meanings. Social media enable rapid-fire digital communications. These communications are incredibly complex in content, form and meaning. This representational complexity is a stumbling block in data analysis that stands in the way of deeper explanations. These unstructured data, rich in social meanings, are as complex as the phenomena they represent. While it is possible to formulate an entire research methodology around semiotics, it is not always necessary. We can adapt semiotic analysis within existing methodologies. This paper offers and illustrates an analytical technique to address representational complexity that can be used in conjunction with other methodologies such as case study, ethnography, etc. This analytical technique espouses a critical realist philosophy to develop much needed, deeper explanations from qualitative data.Show less >

Language :

Anglais

Popular science :

Non

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