Case study 6 : Exposure to violent content: protecting without spying
The context: exposure to violent content
Lucas, 11, has just started secondary school. Curious and passionate about video games, he regularly watches videos on YouTube and chats with friends on messaging apps. His parents, Claire and Thomas, want to help him become more independent online, without intrusive monitoring.
The problem: accidental exposure
It all starts with a simple search about a popular game. But the algorithm keeps going:
Automatic recommendations
“Gameplay” videos that drift towards violent and distressing content.
Snowball effect
Sensationalist thumbnails that attract clicks.
Normalisation
Shocking scenes presented as entertainment.
Gradually, Lucas becomes irritable, has nightmares and refuses to switch off the light at night.
The wake-up call
One evening, Lucas tells his mother he saw “something that sticks in his head”. The next day, Vigiloo flags repeated exposure to content classified as visually and emotionally intense.
Claire and Thomas understand it was not a deliberate search, but a chain of algorithmic recommendations.
How Vigiloo helped
The system detected:
Video metadata analysis
Classification of violent content.
Abnormal frequency
Repeated viewing over a short period.
Educational alert
Notification suggesting adjustments to recommendation settings.
Vigiloo offers practical support: stronger filters, an age-appropriate profile and advice on starting the conversation without dramatising.
The results
Content settings adjusted in under 24 hours.
Sleep problems gradually disappear.
Lucas better understands how algorithms work and learns to report shocking content.
