Comment-section diagnostics
Look closer at the comment section. Ask D.i.D.
Explore unusual patterns in a sample of public YouTube comments. D.i.D brings together evidence, sample context and ordinary explanations to help you decide what deserves a closer look.
Separate observation mode
D.i.D Live
Watch a livestream beside the public conversation D.i.D is observing. Live mode reports descriptive activity measurements without applying the recorded-video risk model.
YouTube Live · Twitch · Kick · X
What D.i.D measures
Five signals, with context
These patterns can be worth reviewing, but none proves that an account is a bot. The report shows what was measured, what is missing and how ordinary audience behavior could explain it.
Comment repetition
Matching text after removing case, links, emoji and punctuation. Shared memes and creator prompts can produce it too.
Timing bursts
Unusually dense 10-minute windows of distinct accounts. Premieres, notifications and outside shares may explain them.
Conversation depth
The share of sampled top-level comments with replies. Reply text is not analyzed, and few replies can be ordinary.
Language diversity
Distinct normalized words divided by all word occurrences, reviewed against fixed thresholds. Shared vocabulary can lower the ratio.
Link presence
How often sampled comments contain web links. Viewers sharing sources or unrelated spam may explain a high count.
Built for
Brands
Add comment-pattern evidence to your research before discussing a creator partnership.
Agencies
Review videos individually and bring evidence, sample limits and open questions to clients.
Creators
Explore your video's comment patterns and the ordinary audience habits that may explain them.