Towards Resilience and Autonomy-based Approaches for Adolescents Online Safety

• URL: http://arxiv.org/abs/2504.15533v1
• Date: Tue, 22 Apr 2025 02:23:48 GMT
• Title: Towards Resilience and Autonomy-based Approaches for Adolescents Online Safety
• Authors: Jinkyung Park, Mamtaj Akter, Naima Samreen Ali, Zainab Agha, Ashwaq Alsoubai, Pamela Wisniewski,
• Abstract summary: We discuss the paradigm shift that has emerged in the literature to move toward resilient-based and privacy-preserving solutions to promote adolescents' online safety.<n>We highlight the limitations of restrictive mediation strategies, which often induce a trade-off between teens' privacy and online safety.<n>We present an overview of empirical studies that conceptualized and examined resilience-based approaches to promoting the digital well-being of teens.
• Score: 7.446834742371107
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this position paper, we discuss the paradigm shift that has emerged in the literature, suggesting to move away from restrictive and authoritarian parental mediation approaches to move toward resilient-based and privacy-preserving solutions to promote adolescents' online safety. We highlight the limitations of restrictive mediation strategies, which often induce a trade-off between teens' privacy and online safety, and call for more teen-centric frameworks that can empower teens to self-regulate while using the technology in meaningful ways. We also present an overview of empirical studies that conceptualized and examined resilience-based approaches to promoting the digital well-being of teens in a way to empower teens to be more resilient.

Related papers

• Building a Village: A Multi-stakeholder Approach to Open Innovation and Shared Governance to Promote Youth Online Safety [13.270849736222065]
  We interviewed 33 stakeholders in the space of youth online safety to understand where their visions toward working together converged and surfaced tensions.<n>We found that non-partisan leadership is necessary to chart actionable, equitable goals to facilitate collaboration between stakeholders.<n>We propose the creation of an open-innovation organization that unifies the diverse voices in youth online safety to develop open-standards and evidence-based design patterns.
  arXiv  Detail & Related papers  (2025-04-04T22:26:37Z)
• Form-Substance Discrimination: Concept, Cognition, and Pedagogy [55.2480439325792]
  This paper examines form-substance discrimination as an essential learning outcome for curriculum development in higher education.<n>We propose practical strategies for fostering this ability through curriculum design, assessment practices, and explicit instruction.
  arXiv  Detail & Related papers  (2025-04-01T04:15:56Z)
• Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance [0.0]
  The rapid expansion of Artificial Intelligence in digital platforms used by youth has created significant challenges related to privacy, autonomy, and data protection.<n>While AI-driven personalization offers enhanced user experiences, it often operates without clear ethical boundaries, leaving young users vulnerable to data exploitation and algorithmic biases.<n>This paper presents a call to action for ethical AI governance, advocating for a structured framework that ensures youth-centred privacy protections, transparent data practices, and regulatory oversight.
  arXiv  Detail & Related papers  (2025-03-15T01:35:56Z)
• EdgeAIGuard: Agentic LLMs for Minor Protection in Digital Spaces [13.180252900900854]
  We propose the EdgeAIGuard content moderation approach to protect minors from online grooming and various forms of digital exploitation.<n>The proposed method comprises a multi-agent architecture deployed strategically at the network edge to enable rapid detection with low latency and prevent harmful content targeting minors.
  arXiv  Detail & Related papers  (2025-02-28T16:29:34Z)
• Persuasion with Large Language Models: a Survey [49.86930318312291]
  Large Language Models (LLMs) have created new disruptive possibilities for persuasive communication. In areas such as politics, marketing, public health, e-commerce, and charitable giving, such LLM Systems have already achieved human-level or even super-human persuasiveness. Our survey suggests that the current and future potential of LLM-based persuasion poses profound ethical and societal risks.
  arXiv  Detail & Related papers  (2024-11-11T10:05:52Z)
• The Psychological Impacts of Algorithmic and AI-Driven Social Media on Teenagers: A Call to Action [0.0]
  This study investigates the meta-issues surrounding social media. Our investigation reveals a paradoxical outcome: rather than fostering closer relationships and improving social lives, the algorithms and structures that underlie social media contribute to a profound psychological impact on individuals. This phenomenon is particularly pronounced among teenagers, who are disproportionately affected by curated online personas, peer pressure to present a perfect digital image, and the constant bombardment of notifications and updates that characterize their social media experience.
  arXiv  Detail & Related papers  (2024-08-19T18:49:12Z)
• Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management [71.99446449877038]
  We propose a more comprehensive approach called Demarcation scoring abusive speech based on four aspect -- (i) severity scale; (ii) presence of a target; (iii) context scale; (iv) legal scale. Our work aims to inform future strategies for effectively addressing abusive speech online.
  arXiv  Detail & Related papers  (2024-06-27T21:45:33Z)
• Safe Multi-agent Reinforcement Learning with Natural Language Constraints [49.01100552946231]
  The role of natural language constraints in Safe Multi-agent Reinforcement Learning (MARL) is crucial, yet often overlooked. We propose a novel approach named Safe Multi-agent Reinforcement Learning with Natural Language constraints (SMALL) Our method leverages fine-tuned language models to interpret and process free-form textual constraints, converting them into semantic embeddings. These embeddings are then integrated into the multi-agent policy learning process, enabling agents to learn policies that minimize constraint violations while optimizing rewards.
  arXiv  Detail & Related papers  (2024-05-30T12:57:35Z)
• Upgrading the protection of children from manipulative and addictive strategies in online games: Legal and technical solutions beyond privacy regulation [0.0]
  We discuss manipulative and exploitative strategies in the context of online games for children. We propose an upgrade for the regulatory approach to address these risks from the perspective of freedom of thought.
  arXiv  Detail & Related papers  (2022-07-20T14:13:17Z)
• Is 40 the new 60? How popular media portrays the employability of older software developers [78.42660996736939]
  We analyzed popular online articles and related discussions on Hacker News through the lens of employability issues and potential mitigation strategies. We highlight the importance of keeping up-to-date, specializing in certain tasks or technologies, and present role transitions as a way forward for veteran developers.
  arXiv  Detail & Related papers  (2020-04-13T10:00:03Z)
• Preventing Imitation Learning with Adversarial Policy Ensembles [79.81807680370677]
  Imitation learning can reproduce policies by observing experts, which poses a problem regarding policy privacy. How can we protect against external observers cloning our proprietary policies? We introduce a new reinforcement learning framework, where we train an ensemble of near-optimal policies.
  arXiv  Detail & Related papers  (2020-01-31T01:57:16Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.