Papers by David Muchlinski
Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles (2024.acl-long)
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| Challenge: | a dog whistle is a coded communication that carries a secondary meaning to specific audiences and is often weaponized for racial and socioeconomic discrimination. |
| Approach: | They propose an approach for word-sense disambiguation of dog whistles from standard speech using Large Language Models. |
| Outcome: | The proposed method allows disambiguation of dog whistles from standard speech using large language models. |
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech (2021.emnlp-main)
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Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang
| Challenge: | Existing studies on explicit or overt hate speech have failed to address a more pervasive form based on coded or indirect language. |
| Approach: | They propose a theoretically-justified taxonomy of implicit hate speech and a benchmark corpus with fine-grained labels for each message and its implication. |
| Outcome: | The proposed dataset will serve as a useful benchmark for understanding this multifaceted issue. |