TL;DR
This paper presents a comprehensive dataset of approximately four million Telegram posts from Brazilian anti-vaccine channels (2020-2025) to facilitate research on misinformation spread and public health impacts.
Contribution
It introduces a large, curated dataset of vaccine misinformation on Telegram, enabling analysis of misinformation dynamics and influence on public sentiment.
Findings
Dataset includes message content, metadata, media, and classification.
Supports research on misinformation spread, evolution, and impact.
Openly available for non-commercial research at provided DOI.
Abstract
Over the past decade, Brazil has experienced a decline in vaccination coverage, reversing decades of public health progress achieved through the National Immunization Program (PNI). Growing evidence points to the widespread circulation of vaccine-related misinformation -- particularly on social media platforms -- as a key factor driving this decline. Among these platforms, Telegram remains the only major platform permitting accessible and ethical data collection, offering insight into public channels where vaccine misinformation circulates extensively. This data paper introduces a curated dataset of about four million Telegram posts collected from 119 prominent Brazilian anti-vaccine channels between 2020 and 2025. The dataset includes message content, metadata, associated media, and classification related to vaccine posts, enabling researchers to examine how false or misleading…
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