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2022 ACL ACL 2022

Textual Content Moderation in C2C Marketplace

Abstract

AbstractAutomatic monitoring systems for inappropriate user-generated messages have been found to be effective in reducing human operation costs in Consumer to Consumer (C2C) marketplace services, in which customers send messages directly to other customers. We propose a lightweight neural network that takes a conversation as input, which we deployed to a production service. Our results show that the system reduced the human operation costs to less than one-sixth compared to the conventional rule-based monitoring at Mercari.

🧭 Keyword Pioneer — consumer marketplace
🐣 Hot Topic Early Bird — content moderation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Yusuke Shido , Hsien-Chi Liu , Keisuke Umezawa

Topics

Interdisciplinary > Social > Social Media Analysis

Keywords

content moderation neural network consumer marketplace
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