Using semiotics to analyze representational complexity in social media - Archive ouverte HAL Access content directly
Journal Articles Information and Organization Year : 2019

Using semiotics to analyze representational complexity in social media

Abstract

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.
Fichier principal
Vignette du fichier
S147177271830112X.pdf (2.72 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02509212 , version 1 (20-07-2022)

Licence

Attribution - NonCommercial

Identifiers

Cite

Christine Abdalla Mikhaeil, Richard Baskerville. Using semiotics to analyze representational complexity in social media. Information and Organization, 2019, 29 (4), pp.100271. ⟨10.1016/j.infoandorg.2019.100271⟩. ⟨hal-02509212⟩
125 View
77 Download

Altmetric

Share

Gmail Facebook X LinkedIn More