# Threads To Scale back the Presence of ‘Rage Bait’ Posts

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

After varied experiments, many have discovered that one of the simplest ways to generate engagement on Threads, and thus attain, is to put up questions which then compel different Threads customers to reply. Which isn’t any shock, as such a interplay has all the time performed into social platform algorithms. However many Threads customers have taken this to a different stage, by intentionally posing controversial or divisive queries with the only real purpose of sparking response.

Enterprise Insider reporter Katie Notopoulos performed an entire experiment in “rage baiting,” by which she posted varied questions like this, which aimed to set off as many responses as potential.

And it labored. As you’ll be able to see, this put up generated over 3,000 replies in itself, and over time, Notopoulos constructed a major Threads presence, primarily based on folks replying to her synthetic posts.

With politics off the desk, questionable takes like this are the following smartest 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 sensible that engagement farmers on Threads are leaning into this, however at this time, Threads chief Adam Mosseri stated that they’re conscious that this can be a drawback, and so they’re trying to repair it.

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

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

Which will likely be tough.

As a result of Threads, in fact, needs 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 folks with junk posts that may 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 needs extra real inquiries to be requested in its apps, as a result of it may then use these responses to facilitate extra human-like solutions to well-liked queries in its chatbot.

So extra questions is an effective factor, however Meta, by some means, needs to dilute the bait, whereas nonetheless hooking the fish.

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

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