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| Διαχρονική Νετνογραφία× | Διαχρονική Ανάλυση Λόγου× | |
|---|---|---|
| Πεδίο | Ποιοτικές Μέθοδοι | Ποιοτικές Μέθοδοι |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1997 (netnography); longitudinal application developed 2000s–2010s | 1990s–2000s (systematised as a distinct approach) |
| Δημιουργός≠ | Robert V. Kozinets (netnography); longitudinal extension by subsequent researchers | Norman Fairclough; Jan Blommaert; applied linguists in sociolinguistics and CDA traditions |
| Τύπος≠ | Longitudinal qualitative online research design | Qualitative longitudinal research design |
| Θεμελιώδης πηγή≠ | Kozinets, R. V. (2020). Netnography: The Essential Guide to Qualitative Social Media Research (3rd ed.). Sage. ISBN: 978-1526458353 | Fairclough, N. (2003). Analysing Discourse: Textual Analysis for Social Research. Routledge. ISBN: 978-0415258937 |
| Εναλλακτικές ονομασίες | longitudinal online ethnography, temporal netnography, long-term netnography, diachronic netnography | LDA, diachronic discourse analysis, longitudinal CDA, discourse change analysis |
| Συναφείς≠ | 5 | 6 |
| Σύνοψη≠ | Longitudinal netnography applies the systematic, immersive online ethnographic method developed by Kozinets across multiple time points to reveal how digital communities, cultural practices, and shared meanings evolve. Rather than offering a snapshot of online life, it tracks the same community or platform over weeks, months, or years, capturing change, continuity, and the temporal rhythms of internet culture. | Longitudinal Discourse Analysis (LDA) is a qualitative research approach that examines how discourse — language in use, texts, talk, and representational practices — changes across time. Rather than analysing a single snapshot of language, LDA collects and compares discourse data at multiple points to uncover how meanings, identities, ideologies, or social practices evolve, stabilise, or shift under the influence of historical, institutional, or societal forces. |
| ScholarGateΣύνολο δεδομένων ↗ |
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