Abstract: This report provides an engagement analysis of counternarratives against
online toxicity. Between February 2020 and July 2021, we observed over 15
million toxic messages on social media identified by our fine-grained,
multilingual detection AI. Over 1,000 dashboard users responded to toxic
messages with combinations of visual memes, text, or AI-generated text, or they
reported content. This leads to new, real-life insights on self-regulatory
approaches for the mitigation of online hate.