Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models (2024.emnlp-main)
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| Challenge: | Only 7% of people living with an SUD receive any form of treatment, with stigma reported as a major barrier. |
| Approach: | They propose a computational framework for analyzing stigma and de-stigmatizing online content and delving into the linguistic features that propagate stigma towards PWUS. |
| Outcome: | The proposed model transforms stigmatizing language into more empathetic language and analyzes over 1.2 million posts on social media . |
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