Сравнение методов

	Цифровая обоснованная теория	Анализ цифрового контента
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	2000s–2010s (as digital data became mainstream in qualitative research)	1950s (classical); digital adaptation 2000s–2010s
Автор метода	Adapted from Glaser & Strauss (1967); digital application developed through the work of Murthy (2008) and others in online qualitative research	Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)
Тип	Qualitative research design	Qualitative/quantitative hybrid research approach
Основополагающий источник	Murthy, D. (2008). Digital ethnography: An examination of the use of new technologies for social research. Sociology, 42(5), 837–855.	Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474
Другие названия	DGT, online grounded theory, internet-based grounded theory, grounded theory in digital contexts	DCA, online content analysis, web content analysis, digital media content analysis
Связанные	6	4
Сводка	Digital Grounded Theory applies the systematic inductive logic of grounded theory to data gathered from digital and online environments — social media platforms, forums, blogs, comment sections, and other internet-mediated communication. Rather than simply using grounded theory on text that happens to come from digital sources, it involves adapting sampling, collection, and ethical procedures to the specific affordances and constraints of online data, while retaining the core commitment to theory generation grounded in empirical 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.