Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey

We present a survey of methods for assessing and enhancing the quality of online discussions, focusing on the potential of Large Language Models (LLMs). While online discourses aim, at least in theory, to foster mutual understanding, they often devolve into harmful exchanges, such as hate speech, threatening social cohesion and democratic values. Recent advancements in LLMs enable facilitation agents that not only moderate content, but also actively improve the quality of interactions. Our survey synthesizes ideas from Natural Language Processing (NLP) and Social Sciences to provide (a) a new taxonomy on discussion quality evaluation, (b) an overview of intervention and facilitation strategies, along with a new taxonomy on conversation facilitation datasets, (c) an LLM-oriented roadmap of good practices and future research directions, from technological and societal perspectives.

@article{korre2025_2503.01513,
  title={ Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey },
  author={ Katerina Korre and Dimitris Tsirmpas and Nikos Gkoumas and Emma Cabalé and Dionysis Kontarinis and Danai Myrtzani and Theodoros Evgeniou and Ion Androutsopoulos and John Pavlopoulos },
  journal={arXiv preprint arXiv:2503.01513},
  year={ 2025 }
}