方法证据记录
Multi-source API-based Data Collection
Multi-source API-based data collection is a systematic technique in which a researcher simultaneously or sequentially queries two or more application programming interfaces (APIs) to harvest digital data for a research project. By drawing from multiple platforms or services — such as social media APIs, government open-data portals, or scientific data repositories — researchers can build richer, more representative datasets than any single source permits. The method is especially prominent in computational social science, digital humanities, public health surveillance, and environmental monitoring.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Multi-source Application Programming Interface-based Data Collection
分类方法记录 · process-pipeline / survey-methodology
- Ruths, D., & Pfeffer, J. (2014). Social media for large studies of behavior. Science, 346(6213), 1063–1064. · DOI 10.1126/science.346.6213.1063
- Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. · ISBN 978-0691158648
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