Automated entropy filters analyze sentence structure, timing patterns, and user profiles to isolate coordinated campaigns from genuine feedback.
A sudden wave of negative posts can be a real problem — or a coordinated bot campaign designed to look like one. Telling the difference by hand is slow and error-prone. Glimpse filters for both automatically before anything reaches your dashboard.
Reacting publicly to fake engagement can accidentally lend it credibility. Dismissing genuine feedback as noise is just as costly. Getting this distinction right, automatically, is what keeps your Health Score trustworthy.
Filters analyze sentence structure, posting timing patterns, and account profile signals together, rather than relying on a single red flag like posting frequency alone.
Before — mentions identified as bot or troll activity are separated out ahead of scoring, so they don't skew your brand's reported sentiment or Health Score.
Filtered activity is kept separate from the main sentiment feed specifically so it doesn't distort your primary metrics, rather than being silently discarded.
Yes — the filtering looks at posting timing patterns across accounts, which is what surfaces coordinated activity, not just single obviously-automated accounts.