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Algorithmic Amplification
On social media, AI-driven amplification algorithms increase the reach of some speech and content, and suppress others. What is promoted and becomes viral online is often sensational or emotionally charged content because it attracts more attention.
Bibliography
- Huszár, F., Ktena, S. I., O’Brien, C., Belli, L., Schlaikjer, A., & Hardt, M. (2021). Algorithmic amplification of politics on Twitter. Proceedings of the National Academy of Sciences, 119(1), e2025334119. https://doi.org/10.1073/pnas.2025334119
- Kasy, M., & Abebe, R. (2021). Fairness, Equality, and Power in Algorithmic Decision-Making. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 576‑586. https://doi.org/10.1145/3442188.3445919
- Sîrbu, A., Pedreschi, D., Giannotti, F., & Kertész, J. (2019). Algorithmic bias amplifies opinion fragmentation and polarization : A bounded confidence model. PLOS ONE, 14(3), e0213246. https://doi.org/10.1371/journal.pone.0213246
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