Top Tweets for #TrollDetection
Detection at Scale — What This Means Going Forward
#Disinformation #TrollDetection #PlatformAccountability
From Trolls to Trends — When Behavior Becomes Influence
#Disinformation #NarrativeControl #TrollTactics
Behavior Over Bots — Why Machine Learning Works
#TrollDetection #MachineLearning #BehavioralSignals
The 90% Accuracy Test — Patterns You Can’t Fake
#DisinfoDetection #BehavioralFingerprint #TrollOps
#Disinformation #TrollDetection #PlatformAccountability
The study shows we can detect trolls by behavior.
That opens the door to early warning systems—
Not based on ideology or opinion, but on patterns that reveal inauthentic activity.
In a post-truth world, lies adapt fast.
But behavior betrays the mask.
And that’s where detection begins.
#TrollDetection #MachineLearning #Disinformation #BehavioralFingerprint
#TrollDetection #MachineLearning #BehavioralSignals
Researchers trained a machine learning model on tweet behavior, not content.
Why?
Because trolls change what they say.
But they struggle to fake how they act.
This is the shift in how we detect disinfo.
Not by catching lies.
But by catching inauthentic behavior.
Because behavior is harder to fake than content.
#TrollDetection #Disinformation #BehavioralSignals #PostTruth
>performs #TrollDetection in real time. A public dataset was also released. The features of the best model obtained combine an account’s profile metadata with the superficial aspects present in its text. The most important feature set noted to be the numerical aspects of the
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