Evaluating Twitter’s algorithmic amplification of low-credibility content: an observational study
Abstract Artificial intelligence (AI)-powered recommender systems play a crucial role in determining the content that users are exposed to on social media platforms. However, the behavioural patterns of these systems are often opaque, complicating the evaluation of their impact on the dissemination...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-03-01
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| Series: | EPJ Data Science |
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| Online Access: | https://doi.org/10.1140/epjds/s13688-024-00456-3 |