Optimise for connection,
not compulsion.
Time-in-app is a dangerous metric. nx10 empowers social platforms to differentiate between joyful engagement and anxious doomscrolling, protecting community health and creator longevity.
The Blind Spot
Not all engagement is good engagement.
When algorithms optimize purely for "engagement" without understanding emotion, they inevitably optimize for addiction. A user furiously scrolling through a state of profound anxiety looks mathematically identical to a user happily exploring content.
The Flaw in Screen Time
Currently, platforms reward content that keeps users on the app the longest. But prolonged exposure to enraging or anxiety-inducing content eventually causes catastrophic churn.
When users associate your app with feeling drained, exhausted, or angry, they will eventually delete it. Optimizing for short-term session length often destroys long-term LTV.
The Nx10 Solution
nx10 analyses the kinematics of the scroll. We measure the velocity of the swipe, the pressure of the thumb, and the micro-tremors of the device.
The Large Feelings Model (LFM) separates joyful discovery (Flow) from compulsive "doom looping" (Severe Frustration + Depleted BCI), allowing your feed algorithm to adjust its recommendations in real time.
The Ecosystem
Healthier communities.
Happier creators.
Product & Growth
Goal: Sustainable, long-term retention.
Break the doomscroll. By using the LFM to identify when a session turns compulsive, you can trigger compassionate, preemptive friction to restore the user's agency - building immense, long-term brand trust.
Trust & Safety
Goal: De-escalate platform toxicity proactively.
Toxicity is usually the result of peaking emotional arousal. If a user's kinematics cross the threshold into violent, erratic inputs (rage typing), prompt them to take a breather before they post a harmful comment.
Creator Success
Goal: Prevent top-creator burnout.
Creators are the lifeblood of your platform, but burnout is rampant. If a creator's baseline kinematics while using your creator dashboard shift toward severe lethargy and depression, trigger partner-manager outreach automatically.
The Playbooks
From science to systems.
How forward-thinking social platforms are utilizing nx10 SDKs and Server Webhooks to build healthier algorithms.
The "Doomscroll" Breaker
Infinite scroll is powerful, but dangerous. When a user loses track of time and descends into anxious consumption, you need a mechanism to gently pull them out.
The Implementation:
By monitoring the Brain Charge Index (BCI) and the Game Behaviour Index (GBI) via the iOS SDK, the app detects when cognitive load is depleted and frustration/anxiety is rising. The app can seamlessly inject a "You're all caught up for today" modal, providing a natural exit point.
func onUserScrolled() {
let bci = Nx10.getCurrentBCI()
let gbi = Nx10.getCurrentGBI()
if bci.level == .depleted && gbi.category == .severeFrustration {
// User is doomscrolling. Break the loop.
injectPositiveFrictionCard(
title: "Take a breather!",
subtitle: "You've seen all the best posts."
)
Analytics.log("Doomscroll_Prevented")
}
}
async function getFeedItems(userId) {
// Fetch user's current emotional state
const state = await nx10.getCurrentState(userId);
if (state.category === 'MildBoredom') {
// User is bored. Inject high-variance discovery content.
return feedService.getDiscoveryMix();
} else if (state.arousal > 0.8 && state.valence < 0) {
// User is anxious/angry. Stop showing triggering news.
return feedService.getFamiliarSafeContent();
}
return feedService.getStandardFeed();
}
Sentiment-Aware Feed Ranking
Content recommendation algorithms typically rely on CTR or "Likes". But feeding controversial, rage-inducing content to a user who is already anxious creates a toxic experience.
The Implementation:
By querying the Nx10 Insights API from your backend, you can alter the recommendation weights based on their active state. If they are bored, introduce novel discovery content. If they are highly stressed, suppress polarizing content and prioritize safe, familiar creators from their close network.
Ready to build a healthier platform?
Get your API keys and deploy emotional analytics today.
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