
arXiv: 2410.20211
Application Programming Interfaces (APIs) are essential tools for social work researchers aiming to harness advanced technologies like Large Language Models (LLMs) and other AI services. This paper demystifies APIs and illustrates how they can enhance research methodologies. It provides an overview of API functionality and integration into research workflows, addressing common barriers for those without programming experience. The paper offers a technical breakdown of code and procedures for using APIs, focusing on connecting to LLMs and leveraging them to facilitate API connections. Practical code examples demonstrate how LLMs can generate API code for accessing specialized services, such as extracting data from unstructured text. Emphasizing data security, privacy considerations, and ethical concerns, the paper highlights the importance of careful data handling when using APIs. By equipping researchers with these tools and knowledge, the paper aims to expand the impact of social work research through the effective incorporation of AI technologies.
35 pages
Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering
Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
