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数字内容分析×话语分析×主题分析×
领域质性质性研究质性研究
方法族Process / pipelineProcess / pipelineProcess / pipeline
起源年份1950s (classical); digital adaptation 2000s–2010s1989 (Fairclough); 1987 (Potter & Wetherell)2006
提出者Building on Berelson (1952) and Krippendorff (1980); adapted for digital contexts by Herring (2010) and Neuendorf (2002+)Norman Fairclough; Jonathan Potter and Margaret WetherellVirginia Braun and Victoria Clarke
类型Qualitative/quantitative hybrid research approachMethodMethod
开创性文献Neuendorf, K. A. (2017). The Content Analysis Guidebook (2nd ed.). Sage. ISBN: 978-1412979474Fairclough, N. (1989). Language and power. Longman. link ↗Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
别名DCA, online content analysis, web content analysis, digital media content analysisDA, Critical Discourse Analysis, Discursive AnalysisTA, Reflexive Thematic Analysis
相关423
摘要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.
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ScholarGate方法对比: Digital Content analysis · Discourse Analysis · Thematic Analysis. 于 2026-06-19 检索自 https://scholargate.app/zh/compare