Confronta i metodi

	Analisi Qualitativa Digitale del Contenuto	Netnografia
Campo	Qualitativo	Qualitativo
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	2010s (building on qualitative content analysis traditions from 1983–2012)	1997 (coined); 2010 (first comprehensive methodology book)
Ideatore	Adapted from Philipp Mayring and Margrit Schreier; digital extension by multiple scholars in the 2010s	Robert V. Kozinets
Tipo	Qualitative research method	Qualitative research method
Fonte seminale	Schreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029485	Kozinets, R. V. (2010). Netnography: Doing Ethnographic Research Online. Sage. ISBN: 978-1847875907
Alias	DQCA, qualitative content analysis of digital data, online qualitative content analysis, digital QCA	online ethnography, virtual ethnography, cyber-ethnography, digital ethnography
Correlati	4	6
Sintesi	Digital Qualitative Content Analysis (DQCA) is a systematic method for interpreting meaning from digital texts — social media posts, forum threads, blogs, emails, and other online content — through a structured, category-driven coding process. It extends the established tradition of qualitative content analysis (Mayring; Schreier) to the scale, multimodality, and contextual specificity of digital environments, prioritising interpretive depth over frequency counting.	Netnography is a qualitative research method that adapts the principles of cultural ethnography to the study of online communities and social media environments. Coined by Robert Kozinets in 1997 and systematised in his 2010 handbook, netnography treats digital spaces — forums, social networks, blogs, review sites — as naturally occurring field sites where communities gather, share meanings, and construct identities. The method combines unobtrusive observation of digital traces with active participation and, where appropriate, direct member interaction.