Misinformation and professional news on largely unmoderated platforms: the case of telegram
research,
27 May 2022
This dataset contains metadata about all COVID-related YouTube videos which circulated on public social media, but which YouTube eventually removed because they contained false information. It describes 8,122 videos that were shared between November 2019 and June 2020. The dataset contains unique identifiers for the videos and social media accounts that shared the videos, statistics on social media engagement and metadata such as video titles and view counts where they were recoverable. The dataset has reuse potential for research studying narratives related to the coronavirus, the impact of social media on knowledge about health and the politics of social media platforms.
Knuutila, Aleksi, Aliaksandr Herasimenka, Hubert Au, Jonathan Bright, and Philip N. Howard. “A Dataset of COVID-Related Misinformation Videos and their Spread on Social Media.” Journal of Open Humanities Data 7, no. 6, 1–5. https://doi.org/10.5334/johd.24
research,
27 May 2022
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17 May 2022
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20 April 2022
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19 April 2022