Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Цифровой визуальный анализ× | Визуальный анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2000s–2010s | Formalized in social sciences from the 1980s–2000s |
| Автор метода≠ | Gillian Rose; Sarah Pink (digital extension) | Roots in art history and semiotics (Panofsky, Barthes); social science applications developed by Gillian Rose and Marcus Banks |
| Тип≠ | Qualitative analytical approach | Qualitative research approach |
| Основополагающий источник | Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473902176 | Rose, G. (2016). Visual Methodologies: An Introduction to Researching with Visual Materials (4th ed.). Sage. ISBN: 978-1473943056 |
| Другие названия | DVA, digital image analysis, online visual analysis, digital visual research | visual research methods, image analysis, visual inquiry, visual data analysis |
| Связанные | 6 | 6 |
| Сводка≠ | Digital visual analysis is a qualitative approach for systematically examining visual materials that originate in, circulate through, or are consumed within digital environments — including social media images, video content, screenshots, memes, infographics, and online multimodal texts. Drawing on visual methodologies and digital research methods, it attends not only to what images depict but also to how they are produced, shared, and interpreted within specific digital platforms and social contexts. | Visual analysis is a qualitative research approach that systematically examines visual materials — such as photographs, films, artworks, advertisements, and diagrams — to understand how meaning is produced, communicated, and interpreted. Drawing on traditions from art history, semiotics, and social science, it treats visual objects as data that carry social, cultural, and ideological significance. Multiple frameworks exist, from formal compositional analysis to discourse-based and audience-reception approaches. |
| ScholarGateНабор данных ↗ |
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