Case studies

Real protection, real numbers.

When abuse arrives faster than any team could handle by hand, Fendr is already working.

CNN
3,500+
of 6,300 comments removed

A coordinated pile-on, handled automatically.

During a single coordinated pile-on, more than 3,500 of 6,300 incoming comments were abusive. Fendr removed them automatically, in real time — so the team never had to wade through thousands of hateful messages by hand, and the abuse never gained momentum in the thread.

Spotify · Podcaster
1 in 4
comments flagged abusive

A quarter of every comment section, caught quietly.

On a high-profile podcast account, roughly one in four incoming comments were identified as abusive. Fendr caught and handled them quietly across the account, so the conversation that mattered stayed front and centre and the host didn’t have to absorb the rest.

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