David Brown


2023

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A Weakly Supervised Classifier and Dataset of White Supremacist Language
Michael Yoder | Ahmad Diab | David Brown | Kathleen Carley
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

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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Identity Construction in a Misogynist Incels Forum
Michael Yoder | Chloe Perry | David Brown | Kathleen Carley | Meredith Pruden
The 7th Workshop on Online Abuse and Harms (WOAH)

Online communities of involuntary celibates (incels) are a prominent source of misogynist hate speech. In this paper, we use quantitative text and network analysis approaches to examine how identity groups are discussed on incels.is, the largest black-pilled incels forum. We find that this community produces a wide range of novel identity terms and, while terms for women are most common, mentions of other minoritized identities are increasing. An analysis of the associations made with identity groups suggests an essentialist ideology where physical appearance, as well as gender and racial hierarchies, determine human value. We discuss implications for research into automated misogynist hate speech detection.

2010

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TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain
Andrew Tran | Chris Bowes | David Brown | Ping Chen | Max Choly | Wei Ding
Proceedings of the 5th International Workshop on Semantic Evaluation

2009

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A Fully Unsupervised Word Sense Disambiguation Method Using Dependency Knowledge
Ping Chen | Wei Ding | Chris Bowes | David Brown
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics