arXiv (OAI Expanded)
open access
Detoxifying Toxic Communication: A Design Science Approach to Responsible AI
Toxic language in digital workplaces such as pejoratives, sarcasm, condescension, and subtle incivility can erode trust, morale, and collaboration. Existing moderation tools primarily delete or block harmful messages, disrupting communication and offering no constructive resolution. This study adopt
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
- Detoxifying Toxic Communication: A Design Science Approach to Responsible AI#819813
- Using LLMs to Mimic the Conversational Dynamics of Reddit Communities#793214
- Using LLMs to Mimic the Conversational Dynamics of Reddit Communities#789210
- The AI Penalty and Disclosure Paradox: Trust, Authenticity and Knowledge Uptake in AI-Mediated Communication#700027
- From Tool to Social Actor: A Systematic Review of the Psychological Mechanisms Through Which Conversational AI Reshapes the Employee Experience.#1091361
Record · ID 809817
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