Online Abusive Attacks (OAA)
收藏arXiv2025-08-18 更新2025-11-27 收录
下载链接：
https://github.com/RaneemAlharthi/Online-Abusive-Attacks-OAA-Dataset
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资源简介：
Online Abusive Attacks (OAA)数据集用于研究在对话中检测辱骂性语言。该数据集包含了对话交换（父-回复推文对），其中回复被标记为辱骂性或非辱骂性。该数据集的创建过程涉及从社交媒体平台收集对话交换，并使用文本分析和机器学习技术对回复进行标记。数据集的应用领域是社交网络内容审核和在线辱骂性语言的检测，旨在帮助社交媒体平台识别和减少有害内容，保护用户免受在线辱骂。
The Online Abusive Attacks (OAA) Dataset is designed for research on abusive language detection in conversational contexts. It comprises conversational exchanges, specifically parent-reply tweet pairs, where each individual reply is annotated as either abusive or non-abusive. The construction of this dataset entails collecting conversational exchanges from social media platforms, and annotating the reply texts through text analysis and machine learning technologies. Its application domains include social network content moderation and online abusive language detection, with the objective of assisting social media platforms in identifying and mitigating harmful content, as well as safeguarding users from online abusive attacks.
提供机构：
Queen Mary University of London, London, UK; Taif University, Taif, Saudi Arabia; Heriot-Watt University, Edinburgh, UK
创建时间：
2025-08-18
