# A feast for trolls -- Engagement analysis of counternarratives against online toxicity

arXiv: https://arxiv.org/abs/2111.07188 · HTML: https://mlsanity.com/paper/2111.07188/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Nov 2021.

## Built on by (most cited first, 3 of 3)

- [Toxic language detection: a systematic review of Arabic datasets](https://mlsanity.com/paper/2312.07228/) (2023)
- [Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories](https://mlsanity.com/paper/2504.16604/) (2025)
- [Online antisemitism across platforms](https://mlsanity.com/paper/2112.07783/) (2021)

## Abstract (arXiv)

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.