Papers by Layla Bouzoubaa
Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit (2024.findings-acl)
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| Challenge: | Our study aims to develop a multi-level, multi-label classification model to analyze online user-generated texts about substance use experiences. |
| Approach: | They propose a taxonomy to assess the nature of posts, including intended connections (Inquisition or Disclosure), subjects (e.g., Recovery, Dependency), and specific objectives (eg. relapse, quality, safety). |
| Outcome: | The proposed model outperforms other models on annotated data and shows that topics such as Safety, Combination of Substances, and Mental Health see more disclosure, while discussions about physiological Effects focus on harm reduction. |
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 . |