How do recommendation algorithms shape science content on social media? Weizenbaum scholars Clarissa Walter & Sascha Friesike have investigated this question in a two-year ethnography at a German Public Broadcast Service.
Read their paper via JCom: https://jcom.sissa.it/article/pubid/JCOM_2402_2025_A02/
JCOM - Journal of Science Communication · Behind the Screens: How Algorithmic Imaginaries Shape Science Content on Social MediaBased on an ethnography of the development and production of science YouTube videos – a collaboration between a German public broadcaster and social science scholars – we identify three intermediary steps through which recommendation algorithms shape science content on social media. We argue that algorithms induce
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White Americans in areas with higher Black poverty more likely to attribute racial disparities to lack of effort: Study
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Diverging views of democracy fuel support for authoritarian politicians, study shows
