An Effective Approach for Cyberbullying Detection
An Effective Approach for Cyberbullying Detection
复制标题
网络欺凌检测的有效方法
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
C. Pang
中科院分区：
文献类型：
--
作者：
V. Nahar;Xue Li;C. Pang
社交网络的快速增长正在补充网络欺凌活动的进展。参与这些活动的大多数人属于年轻一代，特别是青少年，在最糟糕的情况下，他们自杀企图的风险更大。我们提出了一种通过特征选择的加权方案来检测社交媒体中的网络欺凌信息的有效方法。我们提出了一种图模型来提取网络欺凌网络，通过排序算法来识别最活跃的网络欺凌捕食者和受害者。实验结果表明了该方法的有效性。关键词社交网络；网络欺凌；文本挖掘；链接分析
The rapid growth of social networking is supplementing the progression of cyberbullying activities. Most of the individuals involved in these activities belong to the younger generations, especially teenagers, who in the worst scenario are at more risk of suicidal attempts. We propose an effective approach to detect cyberbullying messages from social media through a weighting scheme of feature selection. We present a graph model to extract the cyberbullying network, which is used to identify the most active cyberbullying predators and victims through ranking algorithms. The experiments show effectiveness of our approach. KeywordsSocial Networks; Cyberbullying; Text-Mining; Link Analysis