Fast answer
Crypto social-sentiment checks prove what social data was measured and how it was filtered.
Before accepting a crypto social-sentiment signal, record the source, covered channels, asset phrase, social volume or dominance reading, sentiment label, timestamp, spam filtering limits, confirmation rule, and final status.
If a provider claims social sentiment is bullish or bearish but cannot show the source, covered channels, and timestamp, the signal is not auditable.
Data checks
What to inspect in crypto social-sentiment signal records.
Coverage map
The record should name the social data source and whether it covers Telegram, Reddit, X, forums, news, or other channels.
Metric type
Social volume, social dominance, positive sentiment, and negative sentiment measure different things and should not be merged.
Spam and hype risk
Bot activity, campaign pushes, paid posts, and coordinated raids can distort social metrics.
Trade boundary
Confirmation, invalidation, updates, and final records prevent social buzz from becoming an open-ended call.
Source context
Social volume and social dominance measure discussion activity, not direction proof.
Santiment defines social volume as the count of social documents containing a term and social dominance as the share of crypto-media discussion around a specific asset or phrase. Signal reviews should therefore ask what channels, phrases, and filters created the reading.
Review standard
A reviewable social-sentiment signal makes the social data pipeline visible.
For CSR evidence review, social-sentiment records should include source, covered channels, query phrase, metric type, timestamp, sentiment label, filtering limits, confirmation rule, invalidation, and final status.