Digital Autoethnography
Digital autoethnography is a qualitative research design in which the researcher systematically examines their own lived experience within digital environments — social media platforms, online communities, gaming worlds, digital workplaces, or other networked spaces — to illuminate broader cultural and social phenomena. Combining autoethnography's first-person reflexivity with the study of digital life, it treats personal digital traces, interactions, and self-representations as primary data.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Markham, A. N. (2013). Undermining 'data': A critical examination of a core term in scientific inquiry. First Monday, 18(10). · URL
- Kozinets, R. V. (2010). Netnography: Doing Ethnographic Research Online. Sage. · ISBN 978-1847875228
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.