Latest information in history misunderstandings
Here’s how it works: A company creates an ad or creates a storefront and sends it to Facebook for approval, an automated process. (If it’s a storefront, the product can also come through the feed, and each product is subject to Facebook’s rules.) If the system flags a potential violation, the ad or product will The resent company is non-compliant. But the exact word or part of the image that creates the problem is not identified, meaning the company can effectively guess where the problem lies.
The company can then appeal to the existing ad / listing, or change the image or wording it hopes to bypass Facebook’s rules. Either way, communication is sent back through automated systems, where it could be reviewed by another automated system or by an actual person.
According to Facebook, it has added thousands of reviewers over the past few years, but three million businesses advertise on Facebook, the majority of which are small businesses. A Facebook spokesperson did not specify what would trigger an elevated appeal to reviewers, or if there is a systematized process for that to happen. Often times, small business owners feel caught in an endless loop ruled by machines.
“The problem we continue to tackle is communication channels,” said Sinéad Burke, a comprehensive activist and consultant for multiple brands and platforms, including Juniper. “Access doesn’t just mean digital access. And we have to understand who is in the room while these systems are being created.
A Facebook spokesperson said there are employees with disabilities throughout the company, including at the executive level, and that there is an Accessibility Team working on Facebook to incorporate accessibility into the product development process. But while it’s unquestionable, Facebook-created store and advertising policy governing rules are designed in part to protect their community from false medical claims and fake products. These rules, if accidentally, prevent some of the same communities from accessing products created for them.
“This is one of the most typical problems we’ve seen,” said Tobias Matzner, professor of communication, algorithm and society at the University of Paderborn in Germany. “Large scale efficiency problem solving algorithms” – by detecting patterns and making assumptions – “but when they do one thing, they do all the other things too, for example. like hurting small businesses ”.