Summary of Alternative Speech: Complementary Method to Counter-narrative For Better Discourse, by Seungyoon Lee et al.
Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse
by Seungyoon Lee, Dahyun Jung, Chanjun Park, Seolhwa Lee, Heuiseok Lim
First submitted to arxiv on: 26 Jan 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 This research introduces “Alternative Speech” as a novel approach to combatting hate speech, building upon existing counter-narrative methods. The concept involves providing practical alternatives to hate speech in real-world scenarios, taking into account context and encouraging reform. Alternative Speech can be used alongside counter-narratives to address social issues like racial discrimination and gender inequality. The study proposes guidelines for constructing a necessary dataset and demonstrates the effectiveness of combining Alternative Speech with counter-narrative in combating hate speech. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about finding new ways to stop hate speech online. Hate speech is when people say mean or harmful things, and it’s a big problem. The researchers came up with an idea called “Alternative Speech” that tries to fix the problem by offering better words for people to use instead of hate speech. This can help make the internet a safer place for everyone. They also showed how using Alternative Speech together with existing ways to combat hate speech can be even more effective. |
