Danish researchers created a private self-harm network on the social media platform, including fake profiles of people as young as 13 years old, in which they shared 85 pieces of self-harm-related content gradually increasing in severity, including blood, razor blades and encouragement of self-harm.
The aim of the study was to test Meta’s claim that it had significantly improved its processes for removing harmful content, which it says now uses artificial intelligence (AI). The tech company claims to remove about 99% of harmful content before it is reported.
But Digitalt Ansvar (Digital Accountability), an organisation that promotes responsible digital development, found that in the month-long experiment not a single image was removed.
rather than attempt to shut down the self-harm network, Instagram’s algorithm was actively helping it to expand. The research suggested that 13-year-olds become friends with all members of the self-harm group after they were connected with one of its members.
How on earth did that pass the ethics application
The claim by Meta that they block this type of material combined with the existing spread of this type of material mean that adding a temporary source of material does not carry the same level of harm as may be expected. Testing if Meta does in fact remove this type of content and finding it failing may reasonably be expected to lead to changes which would reduce the amount of this type of material. The net result is a very small, essentially marginal increase in the amount of self harm material and a fuller understanding of the efficacy of Meta filtering systems. If I were on the ethics board I would approve.
Plus, if it did work the way it was supposed to, there would be zero harm done.
They probably had no idea it would be this bad.
Thought: “They probably do something, but I doubt the claims of 99%.”
Reality: “They aren’t doing shit!”
Hey, the algorithm hides the image if it contains words like “death”, it’s all good
The group was private and they created fake profiles … did I miss something?
Maybe the ethics board uses AI, claiming to remove about 99% of harmful studies before they are approved.