Counterspeech Impact: Lessons Learned and the Path to Scalable Interventions
27 May 2025
Counterspeech's impact varies; real-world, scalable tests are needed. Interdisciplinary collaboration is key to automate effective hate mitigation.
Approaches to Counterspeech Detection and Generation Using NLP Techniques
27 May 2025
Counterspeech detection uses binary or multi-label classification; generation leverages LLMs like GPT-2, facing evaluation and deployment challenges.
From Twitter to Reddit: Exploring Data Sources for Computational Counterspeech
27 May 2025
Computational counterspeech studies use datasets from Twitter, YouTube, Reddit, or expert-written content, often in English, for detection and generation.
Striking Back at Hate: How Effective Is Counterspeech, Really?
27 May 2025
Impact of counterspeech studied via diverse methods across 5 languages, 9 countries, platforms like Twitter, targeting Islamophobia, racism, etc.
Counterspeech 101: The Key to Battling Online Hate with Words
27 May 2025
Counterspeech challenges hate via strategies like facts or humor. It's classified by speaker, strategy, recipient, and purpose for impact.
How Griffin’s Local Attention Window Beats Global Transformers at Their Own Game
27 May 2025
Explores how Griffin’s local attention and recurrent layers outperform traditional Transformers, improving language modeling at scale and faster inference.
The Roots of Counterspeech: A Review of Social and Technical Perspectives
26 May 2025
This article reviews social science and computational counterspeech studies, highlighting the need for interdisciplinary work to enhance hate mitigation.
From Theory to Tech: How Counterspeech Research Tackles Digital Abuse
26 May 2025
Counterspeech counters online hate via supportive rebuttals. This review bridges social and computer science to enhance automated generation.
Should Governments Be Able to Ban Online Communities?
30 Apr 2025
Exploring the ethical, legal, and political complexities of deplatforming online hate communities, using the KIWI FARMS disruption as a case study.