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The idea that “hate speech” is something that can be objectively identified is taken for granted on the Left, which is increasingly open about its authoritarian desire to destroy the freedom of speech and regulate what speech is acceptable in the public square and what speech is not. Honest analysis of the motivating ideology behind jihad terror has been stigmatized for years as “Islamophobic hate speech,” despite the fact that it is absolutely nothing like the examples of “Islamophobic hate speech” given in this article. When Bertie Vidgen and Taha Yasseri succeed in silencing that analysis, the jihad will be able to advance unopposed and unimpeded. But hey, as Britain collapses into chaos, at least there will be no “Islamophobic hate speech.”
“How we built a tool that detects the strength of Islamophobic hate speech on Twitter,” by Bertie Vidgen and Taha Yasseri, The Conversation, January 2, 2019:
Landmark - Move - Group - MPs - Definition
In a landmark move, a group of MPs recently published a working definition of the term Islamophobia. They defined it as “rooted in racism”, and as “a type of racism that targets expressions of Muslimness or perceived Muslimness”.
In our latest working paper, we wanted to better understand the prevalence and severity of such Islamophobic hate speech on social media. Such speech harms targeted victims, creates a sense of fear among Muslim communities, and contravenes fundamental principles of fairness. But we faced a key challenge: while extremely harmful, Islamophobic hate speech is actually quite rare.
Billions - Posts - Media - Day - Number
Billions of posts are sent on social media every day, and only a very small number of them contain any sort of hate. So we set about creating a classification tool using machine learning which automatically detects whether or not tweets contain Islamophobia.
Huge strides have been made in using machine learning to classify more general hate speech robustly, at scale and...
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