dc.contributor.author | Zosa, E | |
dc.contributor.author | Shekhar, R | |
dc.contributor.author | Karan, M | |
dc.contributor.author | Purver, M | |
dc.date.accessioned | 2021-11-05T09:36:08Z | |
dc.date.available | 2021-11-05T09:36:08Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/75039 | |
dc.description.abstract | Moderation of reader comments is a significant problem for online news platforms. Here, we experiment with models for automatic moderation, using a dataset of comments from a popular Croatian newspaper. Our analysis shows that while comments that violate the moderation rules mostly share common linguistic and thematic features, their content varies across the different sections of the newspaper. We therefore make our models topic-aware, incorporating semantic features from a topic model into the classification decision. Our results show that topic information improves the performance of the model, increases its confidence in correct outputs, and helps us understand the model's outputs. | en_US |
dc.rights | This article is distributed under the terms of the Creative Commons Attribution – NonCommercial – NoDerivs (CC BY-NC-ND 4.0) licence. You are permitted to download and share the original work, crediting the original source, without altering or using the material for commercial purposes. | |
dc.subject | cs.CL | en_US |
dc.subject | cs.CL | en_US |
dc.title | Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model | en_US |
dc.type | Article | en_US |
dc.rights.holder | © 2021, The Author(s) | |
pubs.author-url | http://arxiv.org/abs/2109.10033v1 | en_US |
pubs.notes | Not known | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | EMBEDDIA: Cross-Lingual Embeddings for Less-Represented Languages in European News Media::European Commission | en_US |
qmul.funder | EMBEDDIA: Cross-Lingual Embeddings for Less-Represented Languages in European News Media::European Commission | en_US |