The tubecleanR tool implemented as R package provides functions for cleaning and preprocessing YouTube comment data collected using the R packages tuber or vosonSML. It addresses potential measurement errors by offering structured routines for handling typical challenges, such as separating text, emoticons, and paradata. This helps researchers prepare high-quality datasets for analysis. A tutorial demonstrates its use on a synthetic dataset generated with Google Gemini, replicating the structure of real YouTube comment data.

Further information: This tool was developed as part of the KODAQS project, a partnership between GESIS, the University of Mannheim, and LMU Munich.