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MANDOLA
ACM Transactions on Internet Technology ( IF 5.3 ) Pub Date : 2020-03-04 , DOI: 10.1145/3371276
Demetris Paschalides 1 , Dimosthenis Stephanidis 1 , Andreas Andreou 1 , Kalia Orphanou 1 , George Pallis 1 , Marios D. Dikaiakos 1 , Evangelos Markatos 2
Affiliation  

In recent years, the increasing propagation of hate speech in online social networks and the need for effective counter-measures have drawn significant investment from social network companies and researchers. This has resulted in the development of many web platforms and mobile applications for reporting and monitoring online hate speech incidents. In this article, we present MANDOLA, a big-data processing system that monitors, detects, visualizes, and reports the spread and penetration of online hate-related speech using big-data approaches. MANDOLA consists of six individual components that intercommunicate to consume, process, store, and visualize statistical information regarding hate speech spread online. We also present a novel ensemble-based classification algorithm for hate speech detection that can significantly improve the performance of MANDOLA’s ability to detect hate speech. To present the functionality and usability of our system, we present a use case scenario of real-life event annotation and data correlation. As shown from the performance of the individual modules, as well as the usability and functionality of the whole system, MANDOLA is a powerful system for reporting and monitoring online hate speech.

中文翻译:

曼陀罗

近年来,在线社交网络中仇恨言论的日益传播以及有效应对措施的需求已经吸引了社交网络公司和研究人员的大量投资。这导致开发了许多用于报告和监控在线仇恨言论事件的网络平台和移动应用程序。在本文中,我们介绍了 MANDOLA,这是一个大数据处理系统,它使用大数据方法监控、检测、可视化和报告在线仇恨相关言论的传播和渗透。MANDOLA 由六个独立的组件组成,它们相互通信以消费、处理、存储和可视化有关在线传播的仇恨言论的统计信息。我们还提出了一种新颖的基于集合的仇恨言论检测分类算法,可以显着提高 MANDOLA 检测仇恨言论的能力。为了展示我们系统的功能和可用性,我们展示了一个真实事件注释和数据关联的用例场景。从各个模块的性能以及整个系统的可用性和功能来看,MANDOLA 是一个强大的在线仇恨言论报告和监控系统。
更新日期:2020-03-04
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