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Цифровой качественный контент-анализ×Дискурс-анализ×
ОбластьКачественные методыКачественные исследования
СемействоProcess / pipelineProcess / pipeline
Год появления2010s (building on qualitative content analysis traditions from 1983–2012)1989 (Fairclough); 1987 (Potter & Wetherell)
Автор методаAdapted from Philipp Mayring and Margrit Schreier; digital extension by multiple scholars in the 2010sNorman Fairclough; Jonathan Potter and Margaret Wetherell
ТипQualitative research methodMethod
Основополагающий источникSchreier, M. (2012). Qualitative Content Analysis in Practice. Sage. ISBN: 978-0857029485Fairclough, N. (1989). Language and power. Longman. link ↗
Другие названияDQCA, qualitative content analysis of digital data, online qualitative content analysis, digital QCADA, Critical Discourse Analysis, Discursive Analysis
Связанные42
СводкаDigital 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.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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 3 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Digital Qualitative Content Analysis · Discourse Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare