Summary of Hatred Stems From Ignorance! Distillation Of the Persuasion Modes in Countering Conversational Hate Speech, by Ghadi Alyahya et al.
Hatred Stems from Ignorance! Distillation of the Persuasion Modes in Countering Conversational Hate Speech
by Ghadi Alyahya, Abeer Aldayel
First submitted to arxiv on: 18 Mar 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel study investigates the optimal methods for countering hate speech online by examining the factors used in counter speech, such as emotional empathy, offensiveness, and hostility. The research distills persuasion modes into reason, emotion, and credibility and evaluates their use in conversations about racism, sexism, and religious bigotry, both closed (multi-turn) and open (single-turn). The evaluation also compares human-sourced and machine-generated counterspeech, exploring the interplay between stance taken and mode of persuasion. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how to best stop hate speech online by understanding what makes counter speech work. It finds that certain ways of persuading, like using reason or emotion, are more effective than others in some situations. The research also compares how human-made and machine-generated counterspeech affect conversations about racism, sexism, and religious bigotry. |
