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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2022 BASE Show details 2 Not All Comments Are Equal: Insights into Comment Moderation from a Topic-aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2022 BASE Show details 3 Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : arXiv, 2021 BASE Show details 4 Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details 5 Not all comments are equal: Insights into comment moderation from a topic-aware model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details 6 Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen; Purver, Matthew. - : Zenodo, 2021 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. ... URL: https://zenodo.org/record/5562464 https://dx.doi.org/10.5281/zenodo.5562464 BASE Hide details 7 Not all comments are equal: Insights into comment moderation from a topic-aware model ... Zosa, Elaine; Shekhar, Ravi; Karan, Mladen. - : Zenodo, 2021 BASE Show details

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