Detecting Violation of Human Rights via Social Media

Pilankar, Yash, Haque, Rejwanul, Hasanuzzaman, Mohammed, Stynes, Paul and Pathak, Pramod (2022) Detecting Violation of Human Rights via Social Media. In: Proceedings of CSR-NLP I @LREC 2022. European Language Resources Association (ELRA), pp. 40-45. ISBN 979-10-95546-89-4

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Abstract

Social media is not just meant for entertainment, it provides platforms for sharing information, news, facts and events. In the digital age, activists and numerous users are seen to be vocal regarding human rights and their violations in social media. However, their voices do not often reach to the targeted audience and concerned human rights organization. In this work, we aimed at detecting factual posts in social media about violation of human rights in any part of the world. The end product of this research can be seen as an useful assest for different peacekeeping organizations who could exploit it to monitor real-time circumstances about any incident in relation to violation of human rights. We chose one of the popular micro-blogging websites, Twitter, for our investigation. We used supervised learning algorithms in order to build human rights violation identification (HRVI) models which are able to identify Tweets in relation to incidents of human right violation. For this, we had to manually create a data set, which is one of the contributions of this research. We found that our classification models that were trained on this gold-standard dataset performed excellently in classifying factual Tweets about human rights violation, achieving an accuracy of upto 93% on hold-out test set.

Item Type:	Book Section
Uncontrolled Keywords:	Human Rights Violation; Fact Checking; Machine Learning
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Clara Chan
Date Deposited:	27 Sep 2022 12:22
Last Modified:	27 Sep 2022 12:22
URI:	https://norma.ncirl.ie/id/eprint/5794

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