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From Theory to Tech: How Counterspeech Research Tackles Digital Abuse
- Counterspeech research aims to combat online abuse by offering rebuttals to hateful content and supporting victims, providing an alternative to controversial measures like content moderation and deplatforming.
- Advancements in large language models could streamline the generation of counterspeech through automation, facilitating widespread online campaigns.
- However, understanding the effectiveness of counterspeech, optimal implementation conditions, and its impact on mitigating hate remains limited.
- Research delves into mechanisms like 'counterspeech' as a means to combat online abuse without platform or law enforcement intervention, potentially mitigating the effects of abuse.
- Detection and generation of counterspeech, essential for AI-assisted hate mitigation tools, assist in understanding dynamics between perpetrators, victims, and bystanders.
- Automating counterspeech creation is crucial due to its time-consuming nature and the expertise required for its effectiveness, benefiting practitioners dealing with harmful content.
- Despite the potential of counterspeech, research in this field remains fragmented across disciplinary boundaries, hindering a comprehensive understanding of its impact.
- This review article presents a holistic view of counterspeech research, bridging computer science and social science perspectives over the past decade.
- It defines counterspeech, evaluates its effectiveness, reviews technical work on its generation, and highlights the interplay between computer science and social science in this domain.
- The study discusses challenges and opportunities in leveraging automated counterspeech tools for online hate mitigation, providing recommendations for both AI researchers and social scientists.
- The aim is to equip researchers, policymakers, and practitioners with insights to harness automated counterspeech effectively in combating online hate.
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