It is important to develop a detailed understanding of the emergent processes underpinning self-presentation and response to others within digital environments. However, established data collection methods such as participant recall, projective techniques and observational methods fail to fully incorporate several important characteristics of social media. These include the longitudinal adjustment to social norms; self-censorship; the construction of the self as content; and above all the unexpectedness and uncontrollability of social media interaction. In addition, social media data present qualitative researchers with a “big data” challenge of scale and complexity, the volume and richness of social media data has resulted in it being identified as “little big data” (Esomar 2014). In response to these challenges, our paper presents an innovative methodology designed to capture the interactive process-based nature of digital self-enactment.
|Publication status||Published - 2015|
|Event||EIASM 8th Workshop on Interpretive Consumer Research - University of Edinburgh , Edinburgh, United Kingdom|
Duration: 16 Apr 2015 → 17 Apr 2015
|Conference||EIASM 8th Workshop on Interpretive Consumer Research|
|Period||16/04/15 → 17/04/15|