The reaction scores put positive interactions (likes) in relation to negative signals that are detectable (for example negative comment sentiment).
A high positive-reaction ratio indicates a well-received channel; recurring negative reactions on sponsored content can be a warning sign for brand fit.
Concretely, both scores are based on comment sentiment: influData classifies the comments under the channel's videos and Shorts, per language, as positive, neutral or negative. Negative Reactions is the share of comments with negative sentiment: comments with negative sentiment divided by all classified comments (positive + neutral + negative). Positive Reactions works the same way with the positive share. In the Quality Score tab you find both values as Positive Sentiment and Negative Sentiment; the horizontal bars benchmark them against channels with a similar subscriber count.
A low negative share means the community reacts mostly neutrally or positively to the content, which reduces the risk of a negative impact on your brand in a collaboration.
Positive Reactions is the share of comments on the creator's videos and Shorts that carry a positive sentiment. influData classifies comments in any language as positive, neutral or negative. Calculation: comments with positive sentiment / all classified comments (positive + neutral + negative). Negative Reactions is the mirror score: the share of comments with negative sentiment. The horizontal bars next to each score show how the value compares with creators of a similar subscriber count.
Why it matters: if you consider working with a creator, you want a community that reacts positively and loyally to the content. A low share of negative comments also reduces the risk that negative sentiment spills over onto your brand.