Brazilian Social Media Anti-vaccine Information Disorder Dataset -- Telegram (2020-2025)
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866918462604967936 |
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| author | Cardenuto, João Phillipe Monari, Ana Carolina Lopes, Michelle Diniz Filho, Leopoldo Lusquino Rocha, Anderson |
| author_facet | Cardenuto, João Phillipe Monari, Ana Carolina Lopes, Michelle Diniz Filho, Leopoldo Lusquino Rocha, Anderson |
| contents | 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 information spreads, evolves, and influences public sentiment. By providing this resource, our aim is to support the scientific and public health community in developing evidence-based strategies to counter misinformation, promote trust in vaccination, and engage compassionately with individuals and communities affected by false narratives. The dataset and documentation are openly available for non-commercial research, under strict ethical and privacy guidelines at https://doi.org/10.25824/redu/5JIVDT |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2601_18622 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Brazilian Social Media Anti-vaccine Information Disorder Dataset -- Telegram (2020-2025) Cardenuto, João Phillipe Monari, Ana Carolina Lopes, Michelle Diniz Filho, Leopoldo Lusquino Rocha, Anderson Computers and Society Social and Information Networks 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 information spreads, evolves, and influences public sentiment. By providing this resource, our aim is to support the scientific and public health community in developing evidence-based strategies to counter misinformation, promote trust in vaccination, and engage compassionately with individuals and communities affected by false narratives. The dataset and documentation are openly available for non-commercial research, under strict ethical and privacy guidelines at https://doi.org/10.25824/redu/5JIVDT |
| title | Brazilian Social Media Anti-vaccine Information Disorder Dataset -- Telegram (2020-2025) |
| topic | Computers and Society Social and Information Networks |
| url | https://arxiv.org/abs/2601.18622 |