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Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection
The proliferation of radical content on online platforms poses significant risks, including inciting violence and spreading extremist ideologies.
Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks
Protecting privacy is essential when sharing data, particularly in the case of an online radicalization dataset that may contain personal information.
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