Sammenlign metoder
Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.
| Digital Metaforanalyse× | Digital Tematisk Analyse× | |
|---|---|---|
| Fagområde | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 2000s–2010s (digital application) | 2006 (base method); digital application 2010s |
| Ophavsperson≠ | Rooted in Lakoff & Johnson (1980); extended to digital contexts by corpus and computational linguists from the 2000s onward | Virginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onward |
| Type≠ | Qualitative–interpretive analysis | Qualitative data analysis method |
| Oprindelig kilde≠ | Lakoff, G., & Johnson, M. (1980). Metaphors We Live By. University of Chicago Press. ISBN: 978-0226468013 | Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Aliasser | online metaphor analysis, digital metaphor research, metaphor analysis of digital texts, DMA | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis |
| Relaterede | 5 | 5 |
| Resumé≠ | Digital Metaphor Analysis (DMA) is a qualitative research approach that identifies, maps, and interprets conceptual metaphors embedded in digital texts — social media posts, online forums, blogs, comment sections, and other internet-mediated communication. Drawing on Conceptual Metaphor Theory (Lakoff and Johnson 1980), it examines how users frame abstract ideas (identity, politics, health, crisis) through systematic metaphorical mappings, revealing shared conceptual structures and ideological orientations within online discourse communities. | Digital Thematic Analysis applies Braun and Clarke's six-phase thematic analysis framework to qualitative data generated in or harvested from digital environments — including social media platforms, online forums, blogs, digital interview transcripts, and user-generated web content. It retains the same systematic coding logic as standard thematic analysis while incorporating additional decisions about data demarcation, platform context, and the ethical handling of publicly available digital material. |
| ScholarGateDatasæt ↗ |
|
|