Zosa, Elaine and Shekhar, Ravi and Karan, Mladen and Purver, Matthew (2021) Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model. In: International Conference Recent Advances in Natural Language Processing, 2021-09-01 - 2021-09-03, Held Online.
Zosa, Elaine and Shekhar, Ravi and Karan, Mladen and Purver, Matthew (2021) Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model. In: International Conference Recent Advances in Natural Language Processing, 2021-09-01 - 2021-09-03, Held Online.
Zosa, Elaine and Shekhar, Ravi and Karan, Mladen and Purver, Matthew (2021) Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model. In: International Conference Recent Advances in Natural Language Processing, 2021-09-01 - 2021-09-03, Held Online.
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.
Item Type: | Conference or Workshop Item (Paper) |
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Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 19 Jul 2024 13:49 |
Last Modified: | 19 Jul 2024 13:49 |
URI: | http://repository.essex.ac.uk/id/eprint/35793 |
Available files
Filename: 2021.ranlp-1.185.pdf
Licence: Creative Commons: Attribution 4.0