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| 온라인 비참여 관찰× | 웹 스크래핑× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도 | Late 1990s–2000s | Late 1990s–2000s |
| 창시자≠ | Christine Hine; Robert Kozinets (digital/online adaptation) | Early internet practitioners; systematised in research contexts from the late 1990s onward |
| 유형≠ | Qualitative data collection technique | Automated digital data collection technique |
| 원전≠ | Kozinets, R. V. (2010). Netnography: Doing Ethnographic Research Online. Sage. ISBN: 978-1847875228 | Mitchell, R. (2018). Web Scraping with Python: Collecting More Data from the Modern Web (2nd ed.). O'Reilly Media. ISBN: 978-1491985571 |
| 별칭 | digital non-participant observation, passive online observation, covert online observation, online unobtrusive observation | web harvesting, screen scraping, web crawling, automated data extraction |
| 관련≠ | 6 | 5 |
| 요약≠ | Online non-participant observation is a qualitative data collection technique in which the researcher watches and records naturally occurring behaviour in digital settings — forums, social media platforms, chat groups, comment sections, or online communities — without joining, interacting with, or disclosing their presence to participants. The approach transplants the classical non-participant observation tradition into internet-mediated spaces, enabling study of authentic discourse and interaction as it unfolds organically. | Web scraping is a computational data collection technique in which software automatically retrieves and extracts structured or semi-structured content from websites. Widely used in social science, computational linguistics, economics, and information science, it enables researchers to assemble large datasets from publicly accessible web sources — such as news archives, social media platforms, government portals, and online marketplaces — that would be impractical to collect manually. |
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