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Towards Automated Detection of Risky Images Shared by Youth on Social Media

Authors:

Ashwaq Alsoubai,

Gianluca Stringhini,

Pamela WisniewskiAuthors Info & Claims

WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023

Pages 1348 - 1357

https://doi.org/10.1145/3543873.3587607

Published: 30 April 2023 Publication History

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Abstract

With the growing ubiquity of the Internet and access to media-based social media platforms, the risks associated with media content sharing on social media and the need for safety measures against such risks have grown paramount. At the same time, risk is highly contextualized, especially when it comes to media content youth share privately on social media. In this work, we conducted qualitative content analyses on risky media content flagged by youth participants and research assistants of similar ages to explore contextual dimensions of youth online risks. The contextual risk dimensions were then used to inform semi- and self-supervised state-of-the-art vision transformers to automate the process of identifying risky images shared by youth. We found that vision transformers are capable of learning complex image features for use in automated risk detection and classification. The results of our study serve as a foundation for designing contextualized and youth-centered machine-learning methods for automated online risk detection.

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Cited By

Park JWisniewski PSingh V(2024)Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data AnnotationSSRN Electronic Journal10.2139/ssrn.4774771Online publication date: 2024
https://doi.org/10.2139/ssrn.4774771
Park JGracie JAlsoubai ARazi AWisniewski P(2024)Personally Targeted Risk vs. Humor: How Online Risk Perceptions of Youth vs. Third-Party Annotators Differ based on Privately Shared Media on InstagramProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655799(1-13)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655799
Ali NAhn TAgha ZPark JWisniewski P(2024)From Ideas to Impact: Cracking the Code for Effectively Engaging Teens in Long-Term Online Safety ResearchExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650765(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650765
Show More Cited By

Index Terms

Towards Automated Detection of Risky Images Shared by Youth on Social Media
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
2. Security and privacy
  1. Human and societal aspects of security and privacy

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WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023

April 2023

1567 pages

ISBN:9781450394192

DOI:10.1145/3543873

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Published: 30 April 2023

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Park JWisniewski PSingh V(2024)Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data AnnotationSSRN Electronic Journal10.2139/ssrn.4774771Online publication date: 2024
https://doi.org/10.2139/ssrn.4774771
Park JGracie JAlsoubai ARazi AWisniewski P(2024)Personally Targeted Risk vs. Humor: How Online Risk Perceptions of Youth vs. Third-Party Annotators Differ based on Privately Shared Media on InstagramProceedings of the 23rd Annual ACM Interaction Design and Children Conference10.1145/3628516.3655799(1-13)Online publication date: 17-Jun-2024
https://dl.acm.org/doi/10.1145/3628516.3655799
Ali NAhn TAgha ZPark JWisniewski P(2024)From Ideas to Impact: Cracking the Code for Effectively Engaging Teens in Long-Term Online Safety ResearchExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650765(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650765
Alsoubai APark JQadir SStringhini GRazi AWisniewski P(2024)Systemization of Knowledge (SoK): Creating a Research Agenda for Human-Centered Real-Time Risk Detection on Social Media PlatformsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642315(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642315
Agha ZPark JWan RAli NWang YDifranzo DBadillo-Urquiola KWisniewski P(2024)Tricky vs. Transparent: Towards an Ecologically Valid and Safe Approach for Evaluating Online Safety Nudges for TeensProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642313(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642313
Caddle XPark JWisniewski P(2024)A Stakeholders’ Analysis of the Sociotechnical Approaches for Protecting Youth OnlineAdvances in Information and Communication10.1007/978-3-031-54053-0_40(587-616)Online publication date: 17-Mar-2024
https://doi.org/10.1007/978-3-031-54053-0_40
Park JAkter MAli NAgha ZAlsoubai AWisniewski P(2023)Towards Resilience and Autonomy-Based Approaches for Adolescents Online SafetySSRN Electronic Journal10.2139/ssrn.4608406Online publication date: 2023
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Jean Baptiste NPark JChatlani NAli NWisniewski P(2023)Teens on Tech: Using an Asynchronous Remote Community to Explore Adolescents' Online Safety PerspectivesCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3606967(45-49)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3606967
Agha ZMiu KPiper SPark JWisniewski P(2023)Co-Designing User Personas and Risk Scenarios for Evaluating Adolescent Online Safety InterventionsCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3606964(249-253)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3606964

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