title: Understanding Gen Alpha Digital Language: Evaluation of LLM Safety
    Systems for Content Moderation
summary: This research offers a unique evaluation of how AI systems interpret the
  digital language of Generation Alpha (Gen Alpha, born 2010-2024). As the first
  cohort raised alongside AI, Gen Alpha faces new forms of online risk due to
  immersive digital engagement and a growing mismatch between their evolving
  communication and existing safety tools. Their distinct language, shaped by
  gaming, memes, and AI-driven trends, often conceals harmful interactions from
  both human moderators and automated systems. We assess four leading AI models
  (GPT-4, Claude, Gemini, and Llama 3) on their ability to detect masked
  harassment and manipulation within Gen Alpha discourse. Using a dataset of 100
  recent expressions from gaming platforms, social media, and video content, the
  study reveals critical comprehension failures with direct implications for
  online safety. This work contributes: (1) a first-of-its-kind dataset capturing
  Gen Alpha expressions; (2) a framework to improve AI moderation systems for
  youth protection; (3) a multi-perspective evaluation including AI systems,
  human moderators, and parents, with direct input from Gen Alpha co-researchers;
  and (4) an analysis of how linguistic divergence increases youth vulnerability.
  Findings highlight the urgent need to redesign safety systems attuned to youth
  communication, especially given Gen Alpha reluctance to seek help when adults
  fail to understand their digital world. This study combines the insight of a
  Gen Alpha researcher with systematic academic analysis to address critical
  digital safety challenges.
paper_authors._id: 682d2dd917608739046ce410
paper_authors.name: Manisha Mehta
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2025-06-02T07:49:41.604Z
paper_authors._id: 683a61d6794afac0688d63e7
paper_authors.avatarUrl: /avatars/278612dbd4b581778ce208cd2c309353.svg
paper_authors.fullname: Manisha Mehta
paper_authors.type: user
paper_authors.user: manishamehta
paper_authors._id: 682d2dd917608739046ce411
paper_authors.name: Fausto Giunchiglia
paper_title: Understanding Gen Alpha Digital Language: Evaluation of LLM Safety
    Systems for Content Moderation
paper_summary: This research offers a unique evaluation of how AI systems interpret the
  digital language of Generation Alpha (Gen Alpha, born 2010-2024). As the first
  cohort raised alongside AI, Gen Alpha faces new forms of online risk due to
  immersive digital engagement and a growing mismatch between their evolving
  communication and existing safety tools. Their distinct language, shaped by
  gaming, memes, and AI-driven trends, often conceals harmful interactions from
  both human moderators and automated systems. We assess four leading AI models
  (GPT-4, Claude, Gemini, and Llama 3) on their ability to detect masked
  harassment and manipulation within Gen Alpha discourse. Using a dataset of 100
  recent expressions from gaming platforms, social media, and video content, the
  study reveals critical comprehension failures with direct implications for
  online safety. This work contributes: (1) a first-of-its-kind dataset capturing
  Gen Alpha expressions; (2) a framework to improve AI moderation systems for
  youth protection; (3) a multi-perspective evaluation including AI systems,
  human moderators, and parents, with direct input from Gen Alpha co-researchers;
  and (4) an analysis of how linguistic divergence increases youth vulnerability.
  Findings highlight the urgent need to redesign safety systems attuned to youth
  communication, especially given Gen Alpha reluctance to seek help when adults
  fail to understand their digital world. This study combines the insight of a
  Gen Alpha researcher with systematic academic analysis to address critical
  digital safety challenges.
paper_ai_summary: Four leading AI models show significant comprehension failures in detecting masked harassment in Gen Alpha digital communication, underscoring the need for improved safety systems.
paper_ai_keywords: GPT-4 Claude Gemini Llama 3