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Why Some Facebook Posts Get Flagged And Hidden Away
May 22, 2018
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From time to time, Facebook Pages are still getting "Branded Content Policy Violation" notifications, leaving many to wonder what they 'did wrong;' mostly because by now - everyone knows when third parties pay to be in posts (direct or indirect dollars), we use the Branded Content "handshake icon" as an indicator for compliance.
But we don't need to use the "handshake icon" in unpaid posts, so why do posts with partners (promotional type third parties) get flagged?
Here's what's happening:
Humans are not sifting through posts considering what could be unpaid content.
Facebook posts are monitored by artificial intelligence and computer vision screening.
And this technology has a difficult time differentiating between paid and unpaid posts especially when hashtags (#) are used or we "@" tag people, places or things.
An important remembrance here:
Hashtags (#) and "@" tagging is their technology's indicator a third party is involved with a post. But it cannot decipher your use of hashtags (#) or "@" tagging as promoting a paid or unpaid third party and often finds you guilty before proven innocent.
For example, look at this post sent by Derick Pitts, WHKR/Melbourne.
Through computer vision screening you can see how the post "feels" like it's violating the paid post terms of service by not using the "handshake icon." But the post in fact is not a paid post - it's simply promoting a station event.
Why this matters:
When we use hashtags (#) or "@" tagging in unpaid posts - we're only confusing this auto scanning technology; leaving our Pages vulnerable to getting flagged.
And while we can appeal violations, and we should when we did nothing wrong, Facebook won't always side with you. And it's important Pages have little to zero violations.
Use critical thinking skills when posting.
Consider only using hashtags (#) and "@" tagging in paid Facebook posts in order to co-exist with their technology.
Because computer vision screening and artificial intelligence won't always get it right.
(Even Facebook admitted this technology is not perfect and needs years, along with large amounts of training data, to recognize patterns.)
Let's continue to learn and adapt efforts together around technology because AI is a growing factor in so much we do.
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