Towards A Reliable Ground-Truth For Biased Language Detection
Reference texts such as encyclopedias and news articles can manifest biased language when objective reporting is substituted by subjective writing. Existing methods to detect bias mostly rely on annotated data to train machine learning models. However, low annotator agreement and comparability is a...
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| Published in: | 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL) pp. 324 - 325 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.09.2021
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| Subjects: | |
| Online Access: | Get full text |
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