  Generative artificial intelligence (AI) has revolutionized the field of
computational social science, unleashing new possibilities for analyzing
multimodal data, especially for scholars who may not have extensive programming
expertise. This breakthrough carries profound implications for the realm of
social sciences. Firstly, generative AI can significantly enhance the
productivity of social scientists by automating the generation, annotation, and
debugging of code. Secondly, it empowers researchers to delve into
sophisticated data analysis through the innovative use of prompt engineering.
Lastly, the educational sphere of computational social science stands to
benefit immensely from these tools, given their exceptional ability to annotate
and elucidate complex codes for learners, thereby simplifying the learning
process and making the technology more accessible.
