Abstract
We provide an overview of the CLPsych 2022 Shared Task, which focusses on the automatic identification of ‘Moments of Change’ in longitudinal posts by individuals on social media and its connection with information regarding mental health . This year’s task introduced the notion of longitudinal modelling of the text generated by an individual online over time, along with appropriate temporally sensitive evaluation metrics. The Shared Task consisted of two subtasks: (a) the main task of capturing changes in an individual’s mood (drastic changes-‘Switches’- and gradual changes -‘Escalations’- on the basis of textual content shared online; and subsequently (b) the sub-task of identifying the suicide risk level of an individual – a continuation of the CLPsych 2019 Shared Task– where participants were encouraged to explore how the identification of changes in mood in task (a) can help with assessing suicidality risk in task (b).
| Original language | English |
|---|---|
| Title of host publication | CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings |
| Editors | Ayah Zirikly, Dana Atzil-Slonim, Maria Liakata, Steven Bedrick, Bart Desmet, Molly Ireland, Andrew Lee, Sean MacAvaney, Matthew Purver, Rebecca Resnik, Andrew Yates |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 184-198 |
| Number of pages | 15 |
| ISBN (Electronic) | 9781955917872 |
| State | Published - 2022 |
| Event | 8th Workshop on Computational Linguistics and Clinical Psychology, CLPsych 2022 - Seattle, United States Duration: 15 Jul 2022 → … |
Publication series
| Name | CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings |
|---|
Conference
| Conference | 8th Workshop on Computational Linguistics and Clinical Psychology, CLPsych 2022 |
|---|---|
| Country/Territory | United States |
| City | Seattle |
| Period | 15/07/22 → … |
Bibliographical note
Publisher Copyright:© 2022 Association for Computational Linguistics.
Funding
This work was supported by a UKRI/EPSRC Turing AI Fellowship to Maria Liakata (grant ref EP/V030302/1), the Alan Turing Institute (grant ref EP/N510129/1) and especially UKRI funding to promote collaboration between UK and US researchers. Aspects of this work were also supported by an Amazon Research Award and by the National Science Foundation under grant 2124270, and the effort also received internal financial support at NORC. The shared task organizers would like to express their gratitude to the anonymous users of Reddit whose data feature in this year’s shared task dataset; to the annotators of the data for Task A, to the clinical experts from Bar-Ilan University who annotated the data for TaskB, the American Association of Suicidology; to all participants for their efforts and patience; to the NORC partners and personnel (especially co-author Jeff Leintz, Dariush Wilkowski, Julia Crothers, Bill Olesiuk and the Data Enclave Manager team) for their tremendous contributions and their willingness to put in a great amount of resources in setting up and managing the Enclave and enabling this year’s shared task, especially given the short time frame, and finally to NAACL for its support for CLPsych.
| Funders | Funder number |
|---|---|
| American Association of Suicidology | |
| National Science Foundation | 2124270 |
| Nutrition Obesity Research Center, University of North Carolina | |
| Alan Turing Institute | EP/N510129/1 |
| UK Research and Innovation | |
| Engineering and Physical Sciences Research Council | EP/V030302/1 |
| Bar-Ilan University |
