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数字符号学分析×内容分析×
领域质性质性
方法族Process / pipelineProcess / pipeline
起源年份Classical semiotics early 20th century; digital adaptation from the 1990s onwardSystematised through Krippendorff's methodology work; 4th edition 2018
提出者Rooted in Ferdinand de Saussure and Charles S. Peirce; digital applications developed by scholars such as David Chandler and Gunther KressKlaus Krippendorff (systematic formulation); roots in early 20th-century communications research
类型Qualitative interpretive analysisQualitative / mixed-method research technique
开创性文献Chandler, D. (2007). Semiotics: The Basics (2nd ed.). Routledge. ISBN: 978-0415363969Krippendorff, K. (2018). Content Analysis: An Introduction to Its Methodology (4th ed.). Sage. ISBN: 978-1506395661
别名DSA, digital semiotics, online semiotic analysis, digital sign analysisİçerik Analizi, systematic content coding, quantitative content analysis
相关55
摘要Digital Semiotic Analysis applies the classical study of signs and meaning-making to content produced and circulated in digital environments. It examines how signifiers — words, images, icons, sounds, emojis, hyperlinks, and interface conventions — create meaning within digital texts such as websites, social media posts, memes, and online advertisements. The method draws on Saussurean dyadic semiotics and Peircean triadic semiotics, extended by Roland Barthes's connotation and myth framework and by contemporary multimodal semiotic theory developed for screen-based media.Content analysis is a systematic research technique for reducing text, visual, or media material into coded categories so that patterns can be counted, compared, and interpreted. Formalised by Klaus Krippendorff in his widely cited methodology textbook (latest edition 2018), the method sits at the boundary of qualitative and quantitative inquiry: it imposes structured, replicable coding on inherently meaning-laden material.
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ScholarGate方法对比: Digital Semiotic Analysis · Content Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare