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Analýza digitálního obsahu×Tematická analýza×
OborKvalitativní metodyKvalitativní výzkum
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1950s (classical); digital adaptation 2000s–2010s2006
TvůrceBuilding on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)Virginia Braun and Victoria Clarke
TypQualitative/quantitative hybrid research approachMethod
Původní zdrojNeuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Další názvyDCA, online content analysis, web content analysis, digital media content analysisTA, Reflexive Thematic Analysis
Příbuzné43
ShrnutíDigital 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.
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ScholarGatePorovnat metody: Digital Content analysis · Thematic Analysis. Získáno 2026-06-17 z https://scholargate.app/cs/compare