Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster
<|reference_start|>Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster: Content moderators play a key role in keeping the conversation on social media healthy. While the high volume of content they need to judge represents a bottleneck to the moderation pipeline, no studies have explored how models could support them to make faster decisions. There is, by now, a vast body of research into detecting hate speech, sometimes explicitly motivated by a desire to help improve content moderation, but published research using real content moderators is scarce. In this work we investigate the effect of explanations on the speed of real-world moderators. Our experiments show that while generic explanations do not affect their speed and are often ignored, structured explanations lower moderators' decision making time by 7.4%.<|reference_end|>
@article{calabrese2024explainability,
    title={Explainability and Hate Speech: Structured Explanations Make Social
  Media Moderators Faster},
    author={Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Bj"orn
  Ross, Mirella Lapata, Francesco Barbieri},
    journal={arXiv preprint arXiv:2406.04106},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.04106},
    primaryClass={cs.CL}
}