Brazilian Social Media Anti-vaccine Information Disorder Dataset - Telegram

The target channels were identified using seed lists from prior literature and keyword searches including terms like "Vacina," "mRNA," "Nova Ordem Mundial," and "Efeitos adversos". Only public channels with at least 1,000 members were monitored. Annotation & Processing Language Detection: Performed using langdetect with a confidence threshold of 0.5.

Topic Classification: The field is_vaccine_related was generated using the Sabiá-3 Large Language Model. The model achieved a 90% F1-score against human annotators. Criteria: Mentions of vaccines/immunization, efficacy/safety discussions, policy discussions, conspiracy theories, or hesitancy.

Limitations 1. Engagement Metrics: The "reactions" feature was only implemented by Telegram in late 2021; data prior to Dec 30, 2021, lacks this metadata. 2. File Size: Media files larger than 50MB were excluded from collection. 3.

Deleted Content: Content removed by channel admins or the Brazilian Supreme Court during the collection period may be missing or altered The metadata is in a .json file, which can be opened in any simple text editor.