Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.01513 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866917188674256896 |
|---|---|
| author | Korre, Katerina Tsirmpas, Dimitris Gkoumas, Nikos Cabalé, Emma Myrtzani, Danai Evgeniou, Theodoros Androutsopoulos, Ion Pavlopoulos, John |
| author_facet | Korre, Katerina Tsirmpas, Dimitris Gkoumas, Nikos Cabalé, Emma Myrtzani, Danai Evgeniou, Theodoros Androutsopoulos, Ion Pavlopoulos, John |
| contents | We present a survey of methods for assessing and enhancing the quality of online discussions, focusing on the potential of 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 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_01513 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey Korre, Katerina Tsirmpas, Dimitris Gkoumas, Nikos Cabalé, Emma Myrtzani, Danai Evgeniou, Theodoros Androutsopoulos, Ion Pavlopoulos, John Computation and Language We present a survey of methods for assessing and enhancing the quality of online discussions, focusing on the potential of 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 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. |
| title | Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2503.01513 |