השוואת שיטות

	ניתוח תוכן דיגיטלי	Thematic Analysis
תחום	איכותני	מחקר איכותני
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1950s (classical); digital adaptation 2000s–2010s	2006
הוגה השיטה	Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)	Virginia Braun and Victoria Clarke
סוג	Qualitative/quantitative hybrid research approach	Method
מקור מכונן	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.
כינויים	DCA, online content analysis, web content analysis, digital media content analysis	TA, Reflexive Thematic Analysis
קשורות	4	3
תקציר	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.