# Threads Will Look to Scale back the Presence of ‘Rage Bait’ Posts

This might be value noting for these trying to maximize their engagement on Threads.

After numerous experiments, many have discovered that one of the best ways to generate engagement on Threads, and thus attain, is to publish questions which then compel different Threads customers to reply. Which isn’t any shock, as this sort of interplay has at all times performed into social platform algorithms. However many Threads customers have taken this to a different degree, by intentionally posing controversial or divisive queries with the only real intention of sparking response.

Enterprise Insider reporter Katie Notopoulos performed a complete experiment in “rage baiting,” during which she posted numerous questions like this, which aimed to set off as many responses as doable.

And it labored. As you may see, this publish generated over 3,000 replies in itself, and over time, Notopoulos constructed a big Threads presence, primarily based on individuals replying to her synthetic posts.

With politics off the desk, questionable takes like this are the following neatest thing for sparking emotional response, which is the important thing to maximizing feedback. Certainly, analysis has proven that posts which set off anger, worry and/or pleasure are the perfect at driving person engagement.

So it is smart that engagement farmers on Threads are leaning into this, however right now, Threads chief Adam Mosseri stated that they’re conscious that it is a drawback, they usually’re trying to repair it.

Mosseri’s remark got here in particular response to this publish, which has additionally sparked a wave of person response.

However the creator isn’t genuinely posing a query, it’s an engagement tactic, and someway, Mosseri and Co. at the moment are going to try to re-jig the Threads algorithm to penalize such.

Which can be tough.

As a result of Threads, in fact, desires feedback and interplay, so it’s good for the platform to facilitate such. It simply wants to make sure that it’s real, or it dangers flooding individuals with junk posts that can flip them off.

However how do you separate the wheat from the chaff on this course of, and determine which posts are “rage bait” and that are real queries?

Detecting AI photos might be a method, however then once more, Meta itself is encouraging extra generative AI utilization, in order that doesn’t appear to gel with its broader plans.

Meta’s evolving AI methods additionally imply that Meta desires extra real inquiries to be requested in its apps, as a result of it could actually then use these responses to facilitate extra human-like solutions to standard queries in its chatbot.

So extra questions is an efficient factor, however Meta, someway, desires to dilute the bait, whereas nonetheless hooking the fish.

With out handbook intervention, that’ll be a tough drawback to unravel, and perhaps, that would be the answer, for Meta’s moderators to verify in on quickly trending posts, and downgrade them in the event that they’re apparent junk.

But it surely may be value noting. In case you’re searching for methods to spice up your Threads presence, Meta might or might not be penalizing some types of engagement bait like this. Someway.