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Improving Moderation of Online Discussions via Interpretable Neural Models

Authors :
Švec, Andrej
Pikuliak, Matúš
Šimko, Marián
Bieliková, Mária
Publication Year :
2018

Abstract

Growing amount of comments make online discussions difficult to moderate by human moderators only. Antisocial behavior is a common occurrence that often discourages other users from participating in discussion. We propose a neural network based method that partially automates the moderation process. It consists of two steps. First, we detect inappropriate comments for moderators to see. Second, we highlight inappropriate parts within these comments to make the moderation faster. We evaluated our method on data from a major Slovak news discussion platform.<br />Comment: ALW2

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1809.06906
Document Type :
Working Paper