Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Digitálna tématická analýza× | Analýza digitálneho obsahu× | |
|---|---|---|
| Odbor | Kvalitatívne metódy | Kvalitatívne metódy |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 2006 (base method); digital application 2010s | 1950s (classical); digital adaptation 2000s–2010s |
| Tvorca≠ | Virginia Braun & Victoria Clarke (base method); extended to digital data contexts by qualitative digital researchers from the mid-2000s onward | Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+) |
| Typ≠ | Qualitative data analysis method | Qualitative/quantitative hybrid research approach |
| Pôvodný zdroj≠ | Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ | Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474 |
| Ďalšie názvy | online thematic analysis, social media thematic analysis, digital TA, web-based thematic analysis | DCA, online content analysis, web content analysis, digital media content analysis |
| Príbuzné≠ | 5 | 4 |
| Zhrnutie≠ | 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. | Digital Content Analysis is a systematic research method for describing, categorising, and interpreting the content of digital materials — social media posts, websites, online forums, blogs, emails, and video transcripts. It applies the rigorous coding logic of classical content analysis to digitally native or digitally collected text, enabling researchers to move from raw online data to structured, interpretable findings about communication, meaning, and social phenomena. |
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