网络欺凌检测:多语言技术的调查

Batoul Haidar, M. Chamoun, Fadi Yamout
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引用次数: 26

摘要

网络欺凌是一种新的欺凌形式;通过电子媒体和互联网执行。网络欺凌正在影响包括阿拉伯国家在内的世界各地的许多儿童。人们正在提高对网络欺凌的认识,并在网络欺凌的检测和缓解领域开展研究,而不仅仅是研究网络欺凌对受害者的心理影响。网络欺凌检测的研究已经在许多语言中进行,但直到撰写本文时,还没有针对阿拉伯语网络欺凌检测的研究。在网络欺凌检测领域使用了许多技术,主要是机器学习(ML)和自然语言处理(NLP)。本文简要介绍了网络欺凌的背景和该领域下的所有技术;除了对多语言网络欺凌检测的技术和进展进行广泛调查外;最后提出了解决阿拉伯网络欺凌问题的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyberbullying Detection: A Survey on Multilingual Techniques
Cyberbullying is the new form of bullying; executed by electronic media and Internet. Cyberbullying is affecting a lot of children around the world including Arab countries. Awareness for cyberbullying is arising and research is taking place in the fields of cyberbullying detection and mitigation and not just the psychological effects of cyberbullying on the victim. Researches on cyberbullying detection have been done in many languages but none has been done on Arabic language cyberbullying detection until the time of writing this paper. Many techniques are utilized in the area of cyberbullying detection, mainly Machine Learning (ML) and Natural Language Processing (NLP). This paper presents a brief background on cyberbullying and all technologies incorporated under this field; in addition to an extensive survey regarding the techniques and advancements in multilingual cyberbullying detection; and finally proposes a plan of a solution for the problem of Arabic cyberbullying.
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