@inproceedings{korre-etal-2025-evaluation,
    title = "Evaluation and Facilitation of Online Discussions in the {LLM} Era: A Survey",
    author = "Korre, Katerina  and
      Tsirmpas, Dimitris  and
      Gkoumas, Nikos  and
      Cabal{\'e}, Emma  and
      Myrtzani, Danai  and
      Evgeniou, Theodoros  and
      Androutsopoulos, Ion  and
      Pavlopoulos, John",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-main.1243/",
    pages = "24454--24473",
    ISBN = "979-8-89176-332-6",
    abstract = "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 artificial facilitation agents to 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, (c) along with a new taxonomy of conversation facilitation datasets, (d) an LLM-oriented roadmap of good practices and future research directions, from technological and societal perspectives."
}