KLIKE TRUST & METHOD
KLIKE Data Lab - Korean Trend Signals and Score
Learn how KLIKE scores Korean YouTube trends with comment heat, video velocity, Korean-market signals, archive quality, and review confidence.
Witnessed snapshots, not estimated traffic
KLIKE stores public YouTube measurements at specific collection times. A detail page can therefore show the first saved count, latest saved count, observed change, and number of snapshots instead of presenting the current YouTube total as KLIKE audience traffic.
How the KLIKE Score is used
The score combines view velocity, comment heat, like ratio, freshness, Korean context, and archive quality. It is a sorting aid inside this site, not an official YouTube score, a prediction of future popularity, or proof that one video is culturally better than another.
Korean-market confidence
Region and language discovery seeds, source channel, title and description signals, category fit, and sampled public-comment language can support a Korean-market label. These signals do not identify every viewer and are reported as confidence with an explanation.
Live and retrospective evidence stay separate
Daily, weekly, and monthly movers use witnessed KLIKE snapshots. Past-year reaction pages use public comment timestamps recovered for a target period. KLIKE does not rewrite a reconstructed comment ranking as if it had been a live historical view chart.
Editorial review and limitations
Automated collection creates candidates, but public pages retain source checks, an approval state, category and context fields, quality diagnostics, and correction paths. Deleted, private, unavailable, or non-embeddable sources are excluded from current public results when the latest source check cannot support playback.