@inproceedings{shing-etal-2018-expert,
title = "Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings",
author = "Shing, Han-Chin and
Nair, Suraj and
Zirikly, Ayah and
Friedenberg, Meir and
Daum{\'e} III, Hal and
Resnik, Philip",
editor = "Loveys, Kate and
Niederhoffer, Kate and
Prud{'}hommeaux, Emily and
Resnik, Rebecca and
Resnik, Philip",
booktitle = "Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic",
month = jun,
year = "2018",
address = "New Orleans, LA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-0603",
doi = "10.18653/v1/W18-0603",
pages = "25--36",
abstract = "We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our knowledge, the first demonstration of reliability in risk assessment by clinicians based on social media postings. We also introduce and demonstrate the value of a new, detailed rubric for assessing suicide risk, compare crowdsourced with expert performance, and present baseline predictive modeling experiments using the new dataset, which will be made available to researchers through the American Association of Suicidology.",
}
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%0 Conference Proceedings
%T Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
%A Shing, Han-Chin
%A Nair, Suraj
%A Zirikly, Ayah
%A Friedenberg, Meir
%A Daumé III, Hal
%A Resnik, Philip
%Y Loveys, Kate
%Y Niederhoffer, Kate
%Y Prud’hommeaux, Emily
%Y Resnik, Rebecca
%Y Resnik, Philip
%S Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, LA
%F shing-etal-2018-expert
%X We report on the creation of a dataset for studying assessment of suicide risk via online postings in Reddit. Evaluation of risk-level annotations by experts yields what is, to our knowledge, the first demonstration of reliability in risk assessment by clinicians based on social media postings. We also introduce and demonstrate the value of a new, detailed rubric for assessing suicide risk, compare crowdsourced with expert performance, and present baseline predictive modeling experiments using the new dataset, which will be made available to researchers through the American Association of Suicidology.
%R 10.18653/v1/W18-0603
%U https://aclanthology.org/W18-0603
%U https://doi.org/10.18653/v1/W18-0603
%P 25-36
Markdown (Informal)
[Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings](https://aclanthology.org/W18-0603) (Shing et al., CLPsych 2018)
ACL
- Han-Chin Shing, Suraj Nair, Ayah Zirikly, Meir Friedenberg, Hal Daumé III, and Philip Resnik. 2018. Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings. In Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, pages 25–36, New Orleans, LA. Association for Computational Linguistics.