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Related Questions
- What are examples of implicit biases that may influence human annotators?
- How might personal experiences and cultural background impact annotator decisions on data labels?
- What are some systematic errors in human judgment that can affect data labeling, and how can they be addressed?
- In what ways can labeling schemes or instructions inadvertently contain biases?
- Can annotators' training or prior knowledge influence data label consistency?
- How might annotator fatigue or cognitive biases introduce inaccuracies in data labeling?
- Can cultural or linguistic differences impact the way annotators perceive and label data?
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