Article summary
Topic models from computer science are powerful for exploring large text collections, but when social scientists use them as measures, extra care is required to ensure the model outputs actually capture the intended concepts. A review of current practice shows that extensive model validation is increasingly rare or, at minimum, not systematically reported in papers and appendices.