Papers by Stevie Chancellor
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter (2024.naacl-short)
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| Challenge: | Social media data is used for detecting users with mental disorders, but public datasets lack crucial metadata related to this aspect. |
| Approach: | They use a custom geo-located Twitter dataset to evaluate the generalization of depressiondetection models on cross-cultural Twitter data. |
| Outcome: | The proposed models perform worse on Global South users compared to Global North. |
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data (2026.acl-long)
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| Challenge: | Social media text data is often used to train machine learning models to identify users exhibiting high-risk mental health behaviors. |
| Approach: | They apply federatedlearning and Differentially Private FL to two widely-studied mental health prediction tasks using social media text data. |
| Outcome: | The proposed methods achieve comparable performance to centralized training on depression identification, but have a large performance-privacy trade-off even with low levels of noise. |