---
_id: '48294'
abstract:
- lang: eng
  text: <jats:p>Clinical NLP tasks such as mental health assessment from text, must
    take social constraints into account - the performance maximization must be constrained
    by the utmost importance of guaranteeing privacy of user data. Consumer protection
    regulations, such as GDPR, generally handle privacy by restricting data availability,
    such as requiring to limit user data to 'what is necessary' for a given purpose.
    In this work, we reason that providing stricter formal privacy guarantees, while
    increasing the volume of user data in the model, in most cases increases benefit
    for all parties involved, especially for the user. We demonstrate our arguments
    on two existing suicide risk assessment datasets of Twitter and Reddit posts.
    We present the first analysis juxtaposing user history length and differential
    privacy budgets and elaborate how modeling additional user context enables utility
    preservation while maintaining acceptable user privacy guarantees.</jats:p>
author:
- first_name: Ramit
  full_name: Sawhney, Ramit
  last_name: Sawhney
- first_name: Atula
  full_name: Neerkaje, Atula
  last_name: Neerkaje
- first_name: Ivan
  full_name: Habernal, Ivan
  id: '101881'
  last_name: Habernal
- first_name: Lucie
  full_name: Flek, Lucie
  last_name: Flek
citation:
  ama: Sawhney R, Neerkaje A, Habernal I, Flek L. How Much User Context Do We Need?
    Privacy by Design in Mental Health NLP Applications. <i>Proceedings of the International
    AAAI Conference on Web and Social Media</i>. 2023;17:766-776. doi:<a href="https://doi.org/10.1609/icwsm.v17i1.22186">10.1609/icwsm.v17i1.22186</a>
  apa: Sawhney, R., Neerkaje, A., Habernal, I., &#38; Flek, L. (2023). How Much User
    Context Do We Need? Privacy by Design in Mental Health NLP Applications. <i>Proceedings
    of the International AAAI Conference on Web and Social Media</i>, <i>17</i>, 766–776.
    <a href="https://doi.org/10.1609/icwsm.v17i1.22186">https://doi.org/10.1609/icwsm.v17i1.22186</a>
  bibtex: '@article{Sawhney_Neerkaje_Habernal_Flek_2023, title={How Much User Context
    Do We Need? Privacy by Design in Mental Health NLP Applications}, volume={17},
    DOI={<a href="https://doi.org/10.1609/icwsm.v17i1.22186">10.1609/icwsm.v17i1.22186</a>},
    journal={Proceedings of the International AAAI Conference on Web and Social Media},
    publisher={Association for the Advancement of Artificial Intelligence (AAAI)},
    author={Sawhney, Ramit and Neerkaje, Atula and Habernal, Ivan and Flek, Lucie},
    year={2023}, pages={766–776} }'
  chicago: 'Sawhney, Ramit, Atula Neerkaje, Ivan Habernal, and Lucie Flek. “How Much
    User Context Do We Need? Privacy by Design in Mental Health NLP Applications.”
    <i>Proceedings of the International AAAI Conference on Web and Social Media</i>
    17 (2023): 766–76. <a href="https://doi.org/10.1609/icwsm.v17i1.22186">https://doi.org/10.1609/icwsm.v17i1.22186</a>.'
  ieee: 'R. Sawhney, A. Neerkaje, I. Habernal, and L. Flek, “How Much User Context
    Do We Need? Privacy by Design in Mental Health NLP Applications,” <i>Proceedings
    of the International AAAI Conference on Web and Social Media</i>, vol. 17, pp.
    766–776, 2023, doi: <a href="https://doi.org/10.1609/icwsm.v17i1.22186">10.1609/icwsm.v17i1.22186</a>.'
  mla: Sawhney, Ramit, et al. “How Much User Context Do We Need? Privacy by Design
    in Mental Health NLP Applications.” <i>Proceedings of the International AAAI Conference
    on Web and Social Media</i>, vol. 17, Association for the Advancement of Artificial
    Intelligence (AAAI), 2023, pp. 766–76, doi:<a href="https://doi.org/10.1609/icwsm.v17i1.22186">10.1609/icwsm.v17i1.22186</a>.
  short: R. Sawhney, A. Neerkaje, I. Habernal, L. Flek, Proceedings of the International
    AAAI Conference on Web and Social Media 17 (2023) 766–776.
date_created: 2023-10-19T08:25:46Z
date_updated: 2023-10-19T12:06:29Z
department:
- _id: '34'
- _id: '820'
doi: 10.1609/icwsm.v17i1.22186
intvolume: '        17'
language:
- iso: eng
page: 766-776
publication: Proceedings of the International AAAI Conference on Web and Social Media
publication_identifier:
  issn:
  - 2334-0770
  - 2162-3449
publication_status: published
publisher: Association for the Advancement of Artificial Intelligence (AAAI)
status: public
title: How Much User Context Do We Need? Privacy by Design in Mental Health NLP Applications
type: journal_article
user_id: '15504'
volume: 17
year: '2023'
...