ArticleEPJ data science2025
AGECovP: identifying ageism and analyzing COVID-19 discourse on older adults in YouTube.
Article in EPJ data science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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3 authors.
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Abstract
The COVID-19 pandemic significantly impacted older adults, generating widespread online discussions that revealed how this at-risk population was perceived. Understanding these portrayals is essential, as public discourse influences societal perceptions of aging and impacts policies and practices affecting older adults. Past research highlights that ageist stereotypes and attitudes frequently surface in public discussions, shaping the experiences of older individuals. The current study presents AGECovP, a comprehensive dataset featuring a diverse collection of YouTube videos, a leading social media platform. AGECovP is designed to provide researchers with meaningful insights into how older adults were portrayed during the pandemic and how topics such as conspiracy theories, misinformation, and the anti-vaccine movement were framed in relation to aging populations. In addition, the dataset includes a set of labeled comments indicating the presence of ageist content, enabling researchers to perform ageist detection and analyze ageism in online discourse. By providing a resource for examining both overt and subtle forms of ageism, AGECovP contributes to the development of tools and methodologies for addressing bias against older adults. This dataset fosters actionable insights into societal attitudes, enhancing the development of inclusive policies and interventions. Our data is available at: https://zenodo.org/records/15800324.
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