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| Дигитален контент анализ× | Тематичен анализ× | |
|---|---|---|
| Област≠ | Качествени методи | Качествени изследвания |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1950s (classical); digital adaptation 2000s–2010s | 2006 |
| Създател≠ | Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+) | Virginia Braun and Victoria Clarke |
| Тип≠ | Qualitative/quantitative hybrid research approach | Method |
| Основополагащ източник≠ | Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Други названия≠ | DCA, online content analysis, web content analysis, digital media content analysis | TA, Reflexive Thematic Analysis |
| Свързани≠ | 4 | 3 |
| Резюме≠ | 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. | Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences. |
| ScholarGateНабор от данни ↗ |
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