Abstract
Numerous approaches have been developed over recent years to detect hate speech on social media networks. Nevertheless, a great deal of what is generally recognized as hate speech cannot yet be detected. There remain many challenges to assuring the effectiveness and reliability of automatic detection systems in different languages, including Arabic. Social media platforms and networks such as Facebook continue to encounter difficulties regarding the automatic detection of hate speech in Arabic content. Given the importance of developing reliable artificial intelligence and automatic detection systems that can reduce the problems and crimes associated with the spread of hate speech on social media platforms, this study is concerned with evaluating the performance of the automatic detection and tracking of hate speech in Arabic content on Facebook. As an example, the study evaluates the period in October 2020 that came to be known as France’s cartoon controversy. Two different corpora were designed. The first corpus comprised 347 posts deleted by Facebook, now known as Meta. The second corpus was composed of 1,856 posts that were randomly selected using the hashtag إلا رسول الله (except the Prophet of Allah). The results indicate that there is a considerable amount of hate speech taken from or influenced by the Islamic religious discourse, but that automatic detection systems are unable to address the peculiar linguistic features of Arabic. There is also a lack of clarity in defining what constitutes “hate speech”. The study suggests that social media networks, including Facebook, need to adopt more reliable automatic detection systems that consider the linguistic properties of Arabic. Political thinkers and religious scholars should be involved in defining what constitutes hate speech in Arabic.
Highlights
In recent years, the spread of social media networks and platforms has resulted in the emergence of different forms of hate speech, which have negative impacts on the stability of societies [1]
In the face of the increasing threats posed by hate speech to the lives of individuals and societies, social media networks have adopted a range of automatic detection systems with capabilities in different languages, especially Indo-European languages [9]
Hate speech on social media networks has become a serious challenge for both individuals and institutions
Summary
The spread of social media networks and platforms has resulted in the emergence of different forms of hate speech, which have negative impacts on the stability of societies [1]. In the face of the increasing threats posed by hate speech to the lives of individuals and societies, social media networks have adopted a range of automatic detection systems with capabilities in different languages, especially Indo-European languages [9]. For his part, Mark Zuckerberg, the Chief Executive of Facebook, expressed his commitment to addressing the issue of hate speech on the platform.
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More From: International Journal of Advanced Computer Science and Applications
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