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Related Questions
- Can annotators experience emotional fatigue when working with large datasets containing traumatic or disturbing content?
- How can organizations mitigate the emotional impact on annotators when working with sensitive or disturbing data?
- What strategies can be employed to reduce the emotional toll on annotators when dealing with large datasets containing negative examples?
- Can machine learning models be designed to learn from diverse datasets without exposing annotators to emotionally distressing content?
- What role can active learning play in reducing the emotional burden on annotators when labeling large datasets?
- Can the emotional impact of annotating negative examples be mitigated through the use of tools or technologies that automate certain tasks?
- How can organizations prioritize the mental health and well-being of annotators who work with sensitive or disturbing content?
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