Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm

本数据集名为‘Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm’，由皇后大学计算机学院创建。数据集包含118,828条记录，涵盖了从社交网络中提取的攻击性文本、重复性、同伴关系和伤害意图等多个维度。创建过程中，研究人员通过合成用户数据和真实文本信息相结合的方式，确保了数据集的全面性和多样性。该数据集主要用于自动化网络欺凌检测研究，旨在通过量化分析提高对网络欺凌行为的识别和理解。

This dataset is named 'Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm', and was created by the School of Computer Science, Queen's University. It contains 118,828 records covering multiple dimensions extracted from social networks, including aggressive texts, repetition, peerness, and intent to harm. During the creation process, researchers combined synthetic user data with real textual information to ensure the comprehensiveness and diversity of the dataset. This dataset is primarily used for automated cyberbullying detection research, aiming to improve the identification and understanding of cyberbullying behaviors through quantitative analysis.