mlsanityData to 14 Oct 2026

WHoW: A Cross-domain Approach for Analysing Conversation Moderation

arXiv 2410.15551 ↗First posted 21 Oct 2024cs.CLcited by 3

Not on the map. Why?

Abstract (arXiv)

We propose WHoW, an evaluation framework for analyzing the facilitation strategies of moderators across different domains/scenarios by examining their motives (Why), dialogue acts (How) and target speaker (Who). Using this framework, we annotated 5,657 moderation sentences with human judges and 15,494 sentences with GPT-4o from two domains: TV debates and radio panel discussions. Comparative analysis demonstrates the framework's cross-domain generalisability and reveals distinct moderation strategies: debate moderators emphasise coordination and facilitate interaction through questions and instructions, while panel discussion moderators prioritize information provision and actively participate in discussions. Our analytical framework works for different moderation scenarios, enhances our understanding of moderation behaviour through automatic large-scale analysis, and facilitates the development of moderator agents.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 11 of its 51 references that are in the map. First posted on arXiv 21 Oct 2024.

Builds on

11 of 51 references.

References · 11

  1. 2020Longformer: The Long-Document Transformercited by 3,413
  2. 2016Ex Machina: Personal Attacks Seen at Scalecited by 210
  3. 2020A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Supportcited by 182
  4. 2021DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarizationcited by 72
  5. 2023Multi-Party Chat: Conversational Agents in Group Settings with Humans and Modelscited by 54
  6. 2021MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understandingcited by 36
  7. 2016Conversational flow in Oxford-style debatescited by 25
  8. 2021Detecting Community Sensitive Norm Violations in Online Conversationscited by 18
  9. 2024Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversationscited by 14
  10. 2020The Effect of Moderation on Online Mental Health Conversationscited by 12
  11. 2024Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversationscited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.