ScreenMyYouTuber AI analysis of what YouTube channels actually publish

Exploring AI with Scratch Face Sensing Blocks | Tutorial

typical in the analyzed sample

Published

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Is this video typical of the channel?

This video looked representative of the rest of the sample — nothing set it apart from its neighbours.

Findings that cite this video

  • External contact

    Low

    Pushes viewers to chat, message, or meet somewhere off-platform.

    Links are provided to the official Scratch website and educational partners for learning materials.

    Confidence 90%

  • Stimulation

    Low

    Pace, loudness, and sensory intensity. High is not unsafe, but it is worth knowing before bedtime viewing.

    Visuals are colorful and engaging but designed for educational focus.

    From thumbnail images Confidence 90%

  • Educational value

    Moderate

    Whether the channel teaches something. Descriptive, not a risk — a high level here is positive.

    The channel provides structured tutorials on specific coding concepts (variables, lists, clones, AI) and game design principles.

    Confidence 90%

  • Consistency

    High

    How alike the sampled videos are. Descriptive, not a risk — high means the sample predicts the rest of the channel well.

    The channel consistently delivers educational content and community updates aligned with its mission.

    Confidence 90%

Screening note

Educational tutorial on AI face sensing in Scratch.

About this evidence

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Complete

Title, thumbnail, and publication date come from YouTube. The findings are our conclusions. How we do this.

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