Сравнение методов

	Анализ цифрового контента	Дискурс-анализ	Тематический анализ
Область	Качественные методы	Качественные исследования	Качественные исследования
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	1950s (classical); digital adaptation 2000s–2010s	1989 (Fairclough); 1987 (Potter & Wetherell)	2006
Автор метода	Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)	Norman Fairclough; Jonathan Potter and Margaret Wetherell	Virginia Braun and Victoria Clarke
Тип	Qualitative/quantitative hybrid research approach	Method	Method
Основополагающий источник	Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474	Fairclough, N. (1989). Language and power. Longman.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Другие названия	DCA, online content analysis, web content analysis, digital media content analysis	DA, Critical Discourse Analysis, Discursive Analysis	TA, Reflexive Thematic Analysis
Связанные	4	2	3
Сводка	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.	Discourse analysis is a qualitative research methodology that examines how language, communication, and power shape meaning, identity, and social reality. Developed across linguistics, sociology, and psychology (particularly by Norman Fairclough and Jonathan Potter), discourse analysis goes beyond content to analyze language use as a social practice that constitutes and reflects power relations, ideologies, and social structures.	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.