Digital Case Detection is a systematic academic methodology within case detection research that employs digital technologies and data-driven approaches to identify, extract, or infer instances of a phenomenon of interest from electronic sources, distinguished by its reliance on computational processes, structured data inputs, and automated or semi-automated analytical frameworks.