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Ethno-racial identity and digitalisation in self-presentation: a large-scale Instagram content analysis.
- Source :
-
Behaviour & Information Technology . Oct2023, Vol. 42 Issue 13, p2210-2225. 16p. 1 Diagram, 1 Chart, 1 Map. - Publication Year :
- 2023
-
Abstract
- This study addresses the question to which extent individual online self-presentations become more similar globally, due globalisation and digitalisation, or whether ethno-racial identity predisposes individuals' online self-presentation. That is, we examined the degree to which individuals varying in ethno-racial identity converge or diverge in online self-presentation. A large-scale content analysis was conducted by collecting selfies on Instagram (i.e. #selfietime; N = 3881). Using facial recognition software, selfies were allotted into a specific ethno-racial identity based on race/ethnicity-related appearance features (e.g. Asian, Black, Hispanic, and White identity) as a proxy for externally imposed ethno-racial identity. Results provided some evidence for convergence in online self-construction among selfie-takers, but generally revealed that self-presentations diverge as a function of ethno-racial identity. That is, results showed more convergence between ethno-racial identity for portraying selfies with objectified elements, whereas divergence in online self-presentations occurred for portraying contextualised selves and filter usage. In all, this study examined the complexity of online self-presentation. Here, we extend earlier cross-cultural research by exploring the convergence-divergence paradigm for the role of externally imposed ethno-racial identity in online self-presentation. Findings imply that ethno-racial identity characteristics remain important in manifestations of online self-presentations. [ABSTRACT FROM AUTHOR]
- Subjects :
- *STATISTICS
*SAMPLE size (Statistics)
*SELF-perception
*SOCIAL media
*ATTITUDE (Psychology)
*BLACK people
*HISPANIC Americans
*ONE-way analysis of variance
*RACE
*GROUP identity
*POPULATION geography
*ETHNOLOGY research
*PEARSON correlation (Statistics)
*PSYCHOSOCIAL factors
*PHOTOGRAPHY
*CHI-squared test
*DESCRIPTIVE statistics
*RESEARCH funding
*ETHNIC groups
*BIOMETRY
*WHITE people
*DATA analysis
*MEDICAL coding
Subjects
Details
- Language :
- English
- ISSN :
- 0144929X
- Volume :
- 42
- Issue :
- 13
- Database :
- Academic Search Index
- Journal :
- Behaviour & Information Technology
- Publication Type :
- Academic Journal
- Accession number :
- 172839979
- Full Text :
- https://doi.org/10.1080/0144929X.2022.2112613