Milosevic, Tijana ORCID: 0000-0003-1502-7479, Verma, Kanishk ORCID: 0000-0001-7172-4098, Carter, Michael, Vigil, Samantha, Laffan, Derek ORCID: 0000-0002-5780-1840, Davis, Brian ORCID: 0000-0002-5759-2655 and O'Higgins Norman, James ORCID: 0000-0003-0997-6942 (2023) Effectiveness of artificial Intelligence–based cyberbullying interventions from youth perspective. Social Media + Society . pp. 1-12. ISSN 2056-3051
Abstract
Cyberbullying on social media continues to pose a significant problem for children and young people, and platforms increasingly rely on artificial intelligence (AI) to address it. Nonetheless, little is known about children’s views as to the effectiveness of AI-based interventions; and how these interventions impact their rights to protection, privacy, and freedom of expression, as afforded to them in the United Nations Convention on the Rights of the Child (UNCRC), which applies in a digital environment. This study is the first to ask children about their perceptions as to how AI-based proactive content moderation of cyberbullying impacts their rights. We have designed a set of AI-based interventions into cyberbullying that build on proactive content take-down, based on social learning and social norm theories; we solicited children’s views via focus groups and in-depth interviews as to their perceived effectiveness and impact of such interventions on children’s rights (children from Ireland, age 12–17, N=59). We discuss how youth social norms can limit the effectiveness of the interventions and the need to involve youth in platform decisions regarding AI design.
Metadata
Item Type: | Article (Published) |
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Refereed: | Yes |
Uncontrolled Keywords: | cyberbullying; online safety; children’s rights; artificial intelligence; social media |
Subjects: | Social Sciences > Education |
DCU Faculties and Centres: | DCU Faculties and Schools > Institute of Education > School of Human Development Research Institutes and Centres > ADAPT Research Institutes and Centres > Anti-Bullying Research Centre (ABC) |
Publisher: | SAGE Publications |
Official URL: | https://journals.sagepub.com/doi/pdf/10.1177/20563... |
Copyright Information: | © 2023 The Authors |
Funders: | Facebook/Meta Content Policy Award, Phase 2. T.M., European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 801522, by Science Foundation Ireland, e European Regional Development Fund through the ADAPT Centre for Digital Content Technology grant number 13/RC/2106_P2. |
ID Code: | 29411 |
Deposited On: | 15 Jan 2024 15:03 by Dylan Pidgeon . Last Modified 15 Jan 2024 15:03 |
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