Pablo M. Flores
@pablomflores.phd
PhD @ucdavis.bsky.social | Computational Social Science, Complexity, Networks, Emotions |
Para mí, amor en 48 compases 🎶 🇨🇱
Para mí, amor en 48 compases 🎶 🇨🇱
After analyzing 151 algorithm audits from 33 studies, we found that roughly 8-10% of algorithmic recommendations are "bad" while about a quarter actively protect users from self-induced harms ("do good"). This average is consistent across audits irrespective of the platform or the kind of risk.
January 16, 2024 at 10:28 PM
After analyzing 151 algorithm audits from 33 studies, we found that roughly 8-10% of algorithmic recommendations are "bad" while about a quarter actively protect users from self-induced harms ("do good"). This average is consistent across audits irrespective of the platform or the kind of risk.