Taking disagreements into consideration: human annotation variability in privacy policy analysis
Introduction. Privacy policies inform users about data practices but are often complex and difficult to interpret. Human annotation plays a key role in understanding privacy policies, yet annotation disagreements highlight the complexity of these texts. Traditional machine learning models prioritiz...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Borås
2025-03-01
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| Series: | Information Research: An International Electronic Journal |
| Subjects: | |
| Online Access: | https://publicera.kb.se/ir/article/view/47581 |
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