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Parenting Journal · Volume 2 · Issue 5 · Licensed source edition

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites

Originally published 2025-07-08 · Journal of Medical Internet Research
JMIR Publications Inc. · DOI 10.2196/71998 ↗

RespectSystematic company search and website content analysisCC BY 4.0
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AI / system type

Commercial automated surveillance/AI claims; no model performance validation

Child-facing evidence

Examines children or child-focused systems. Transfer to everyday family life must be assessed separately.

The AI connection

Ten of fourteen companies reported using AI to automatically flag student communications or activity.

Why this reading matters

Makes otherwise invisible institutional surveillance a family-facing data-rights issue.

Editorial reading guide · Respect

What does our school’s AI monitoring see outside the classroom?

Most companies advertised round-the-clock monitoring and ten reported AI flagging, while fewer than half described secondary human review. This exposes questions families can ask about consent, data reach, and escalation beyond school hours.

Study context

The study identified fourteen companies marketing student online-surveillance services and coded their public descriptions during February–June 2024.

Age / stage: Middle- and high-school students; no student participants

Read with three questions

  1. How far did advertised monitoring extend beyond school devices and hours?
  2. Which claimed services involved human review or law-enforcement contact?
  3. What cannot company marketing reveal about effectiveness or discriminatory flagging?

Keep the limits in view

The evidence comes from public marketing pages, not contracts, internal practices, or tests of surveillance systems. It identifies possible inequity and opacity but does not measure actual algorithmic bias, student harm, or prevention benefit.

The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.

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Attribution & reuse

Follow the original.

Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.

Alison O'Daffer; Wendy Liu; Cinnamon S Bloss (2025). School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites Journal of Medical Internet Research. https://doi.org/10.2196/71998

Permissions checked against the saved article notice; repository publication notices screened 2026-11-04. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.