Interaction Mining for Cyberbullying Detection on Social Networks

用于社交网络上网络欺凌检测的交互挖掘

• 批准号: LP150100671
• 负责人: Prof Ivor Tsang
• 金额: $ 38.26万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-06-23 至 2019-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150100671
• 关键词: Interaction; Mining; Cyberbullying; Detection; Social

This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.

该项目计划建立一个交互式挖掘系统来检测社交网络上的网络欺凌行为，这些社交网络有大量的参与者和各种输入，包括对话文本、时变变化和用户配置文件。该项目旨在将现有的网络欺凌防范服务从被动的关键词过滤转变为主动的社交模式挖掘。预期的结果将使网络欺凌的早期发现和预警成为可能，并为发现在不断演变和复杂的社交网络上与大量参与者的互动模式开辟了一条新的途径。