Reducing Privacy Risks in Online Self-Disclosures with Language Models (2024.acl-long)
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| Challenge: | Disclosure is a social media activity that can be rewarding but also poses privacy risks. |
| Approach: | They propose to detect and abstract online self-disclosures using a large corpus of 4.8K annotated disclosure spans and a language model to fine-tune for detection. |
| Outcome: | The proposed model can detect and abstract self-disclosures with 80% accuracy, on-par with GPT-3.5. |
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