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Real-time hype and backlash detection across 115+ platforms. Topics are scored from volume z-scores weighted by platform diversity, then classified by sentiment shift.
No trending topics detected in this window.
Signals appear once volume z-scores clear the hype gate.
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Radar = (Σ volume z-scores) × (1 + platform weight × (platform count − 1)). Classification: hype (positive sentiment shift), backlash (negative shift), surge (volume only). Baseline is an EWMA over the trailing 30 days.