@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://aclanthology.org/2025.emnlp-main.1243/",
doi = "10.18653/v1/2025.emnlp-main.1243",
pages = "24443--24462",
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."
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%0 Conference Proceedings
%T Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey
%A Korre, Katerina
%A Tsirmpas, Dimitris
%A Gkoumas, Nikos
%A Cabalé, Emma
%A Myrtzani, Danai
%A Evgeniou, Theodoros
%A Androutsopoulos, Ion
%A Pavlopoulos, John
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F korre-etal-2025-evaluation
%X 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.
%R 10.18653/v1/2025.emnlp-main.1243
%U https://aclanthology.org/2025.emnlp-main.1243/
%U https://doi.org/10.18653/v1/2025.emnlp-main.1243
%P 24443-24462
Markdown (Informal)
[Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey](https://aclanthology.org/2025.emnlp-main.1243/) (Korre et al., EMNLP 2025)
ACL
- Katerina Korre, Dimitris Tsirmpas, Nikos Gkoumas, Emma Cabalé, Danai Myrtzani, Theodoros Evgeniou, Ion Androutsopoulos, and John Pavlopoulos. 2025. Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 24443–24462, Suzhou, China. Association for Computational Linguistics.