User perceptions of misgendering algorithms
Gender classification systems (GCSs) on social media platforms, such as X (formerly Twitter), infer users’ gender for targeted advertising and personalization. However, these systems rely on binary classifications that fail to capture gender diversity, often leading to misclassification (i.e. misgen...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
SAGE Publishing
2025-12-01
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| Serier: | Big Data & Society |
| Online adgang: | https://doi.org/10.1177/20539517251398719 |
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