The message texts were systematically anonymised in order to remove personal information while preserving the scientific usability of the data. Private identifiers such as email addresses, telephone numbers, payment details, addresses, and social media handles were automatically detected and replaced with standardised placeholders. Politically relevant names, organisations, and thematic references were retained to enable meaningful content analysis. The anonymisation substantially reduces the risk of re-identification without compromising the analytical value of the data.