arXiv (All)
open access
In-Browser Human-AI Co-Writing for Counterspeech: An Exploratory User Study of Agency, Perceived Response Quality, and Time
Writing counterspeech that challenges online hate speech can be cognitively and emotionally demanding, whereas fully automated generation may weaken users' sense of voice and responsibility. We present an in-browser AI-assisted co-writing tool that enables users to contribute their own ideas and off
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech#1123318
- AI-Powered Mental Health Chabot: A Survey#705048
- “Oh No, the Robots Are Here”: AI identity labels, social uptake and sanctioning in mixed human–AI communities#1286670
- “Oh No, the Robots Are Here”: AI identity labels, social uptake and sanctioning in mixed human–AI communities#1286612
- Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study#987407
Record · ID 1424475
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive