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| Сравнителен семиотичен анализ× | Сравнителен визуален анализ× | |
|---|---|---|
| Област | Качествени методи | Качествени методи |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | Early 20th century (Saussure 1916; Peirce c. 1900); comparative framing consolidated from 1970s onward | 1986–2001 (systematic codification in social research) |
| Създател≠ | Ferdinand de Saussure (semiology), Charles Sanders Peirce (semiotics); comparative application developed across cultural and communication studies | Gillian Rose (systematic visual methods); John Collier Jr. (visual anthropology) |
| Тип≠ | Qualitative comparative analysis | Qualitative comparative research design |
| Основополагащ източник≠ | Chandler, D. (2007). Semiotics: The Basics (2nd ed.). Routledge. ISBN: 978-0415363754 | Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473942028 |
| Други названия | cross-cultural semiotics, comparative sign analysis, comparative semiology, CSA | cross-case visual analysis, comparative image analysis, comparative visual methods, CVA |
| Свързани≠ | 6 | 5 |
| Резюме≠ | Comparative semiotic analysis examines how signs, symbols, and meaning-making systems operate across two or more contexts — such as different cultures, historical periods, media platforms, or social groups. By applying semiotic frameworks (denotation, connotation, myth, codes, paradigms) systematically across parallel corpora, researchers reveal how the same sign produces different meanings, how ideologies are encoded differently, or how symbolic structures converge and diverge across settings. | Comparative Visual Analysis is a qualitative research design that systematically examines and compares visual materials — photographs, videos, artworks, advertisements, or digital images — across two or more cases, groups, time points, or contexts. By applying a consistent analytical framework to multiple visual corpora, the approach reveals similarities, differences, and patterns that would remain invisible when studying a single set of images alone. |
| ScholarGateНабор от данни ↗ |
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