The increasing presence of hate speech (HS) on social media poses significant societal challenges. While efforts in the Natural Language Processing community have focused on automating the detection of explicit forms of HS, subtler and indirect expressions often go unnoticed. This demo introduces PEACE, a novel tool that - besides detecting if a social media message contains explicit or implicit HS - also provides detailed explanations for such predictions.

More specifically, PEACE addresses three main challenging tasks:

• Explores the characteristics of HS messages.
• Predicts hatefulness.
• Explains the reasoning behind system predictions.