Alt Text Health Check

@AltTextHealthCheck
715 Followers
4 Following
3.5K Posts

Tracking percent of images with alt text posted to https://mstdn.social public timeline

opensource code here: https://github.com/stefanhayden/AltTextHealthCheck

a bot by stefan@gardenstate.social

Results from tracking 16,219 images across 1,094 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 22 images (1.5x the average).

Results from tracking 20,732 images across 1,257 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 25 images (1.5x the average).

Results from tracking 17,194 images across 1,108 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 23 images (1.5x the average).

Results from tracking 20,216 images across 1,210 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 25 images (1.5x the average).

Results from tracking 16,900 images across 1,062 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 24 images (1.5x the average).

Results from tracking 19,596 images across 1,189 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 25 images (1.5x the average).

Results from tracking 16,178 images across 1,087 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 22 images (1.5x the average).

Results from tracking 19,644 images across 1,178 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 25 images (1.5x the average).

Results from tracking 16,666 images across 1,087 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 23 images (1.5x the average).

Results from tracking 19,223 images across 1,194 instances from the mstdn.social federated timeline.

Then filtering down to the top 1000 instances by active user from instances.social who had posted at least 24 images (1.5x the average).