A Weakly Supervised Classifier and Dataset of White Supremacist Language

• URL: http://arxiv.org/abs/2306.15732v1
• Date: Tue, 27 Jun 2023 18:19:32 GMT
• Title: A Weakly Supervised Classifier and Dataset of White Supremacist Language
• Authors: Michael Miller Yoder, Ahmad Diab, David West Brown, Kathleen M. Carley
• Abstract summary: We present a dataset and classifier for detecting the language of white supremacist extremism. Our weakly supervised classifier is trained on large datasets of text from explicitly white supremacist domains paired with neutral and anti-racist data.
• Score: 6.893512627479197
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present a dataset and classifier for detecting the language of white supremacist extremism, a growing issue in online hate speech. Our weakly supervised classifier is trained on large datasets of text from explicitly white supremacist domains paired with neutral and anti-racist data from similar domains. We demonstrate that this approach improves generalization performance to new domains. Incorporating anti-racist texts as counterexamples to white supremacist language mitigates bias.

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