Identifying key challenges and needs in digital mental health moderation practices supporting users exhibiting risk behaviours to develop responsible AI tools: the case study of Kooth
Identifying key challenges and needs in digital mental health moderation practices supporting users exhibiting risk behaviours to develop responsible AI tools: the case study of Kooth
Digital platforms for mental health and wellbeing purposes have become increasingly common to help users exhibiting risk behaviours (e.g. self-harming, eating-related disorders) across all ages, opening new frontiers in supporting vulnerable users. This study stems from a larger project, which explores how responsible AI solutions can up-scale existing manual moderation approaches and better target interventions for young people who ask for help or engage in risk behaviours online. This research aims to better understand the challenges and needs of moderators and digital counsellors, i.e. the ‘behind the scenes’. Through this case study, the authors intend to contribute to the development of responsible AI tools that are fit for purpose and better understand the challenges. The key focus lies on Kooth.com, the UK’s leading free online confidential service offering counselling and emotional wellbeing support to young people in the UK through its online web-based and pseudo-anonymous digital platform.
Digital moderation, Digital counselling, Risk behaviours, Responsible AI, Mental health and wellbeing
217
Nichele, Elena
163f6310-b37e-42be-b5d0-8f1d0eef8871
Lavorgna, Anita
6e34317e-2dda-42b9-8244-14747695598c
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
29 September 2022
Nichele, Elena
163f6310-b37e-42be-b5d0-8f1d0eef8871
Lavorgna, Anita
6e34317e-2dda-42b9-8244-14747695598c
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Nichele, Elena, Lavorgna, Anita and Middleton, Stuart
(2022)
Identifying key challenges and needs in digital mental health moderation practices supporting users exhibiting risk behaviours to develop responsible AI tools: the case study of Kooth.
SN Social Sciences, 2 (10), .
(doi:10.1007/s43545-022-00532-3).
Abstract
Digital platforms for mental health and wellbeing purposes have become increasingly common to help users exhibiting risk behaviours (e.g. self-harming, eating-related disorders) across all ages, opening new frontiers in supporting vulnerable users. This study stems from a larger project, which explores how responsible AI solutions can up-scale existing manual moderation approaches and better target interventions for young people who ask for help or engage in risk behaviours online. This research aims to better understand the challenges and needs of moderators and digital counsellors, i.e. the ‘behind the scenes’. Through this case study, the authors intend to contribute to the development of responsible AI tools that are fit for purpose and better understand the challenges. The key focus lies on Kooth.com, the UK’s leading free online confidential service offering counselling and emotional wellbeing support to young people in the UK through its online web-based and pseudo-anonymous digital platform.
Text
accepted_manuscript_SNSS
- Accepted Manuscript
Text
s43545-022-00532-3
- Version of Record
More information
Accepted/In Press date: 21 September 2022
e-pub ahead of print date: 29 September 2022
Published date: 29 September 2022
Additional Information:
© The Author(s) 2022.
Keywords:
Digital moderation, Digital counselling, Risk behaviours, Responsible AI, Mental health and wellbeing
Identifiers
Local EPrints ID: 470760
URI: http://eprints.soton.ac.uk/id/eprint/470760
ISSN: 2662-9283
PURE UUID: 9ffbb6e5-34fc-42ff-b6a2-4dcc7ad2503b
Catalogue record
Date deposited: 19 Oct 2022 16:59
Last modified: 17 Mar 2024 03:39
Export record
Altmetrics
Contributors
Author:
Elena Nichele
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
