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Detecting weak and strong Islamophobic hate speech on social media

Abstract:

Islamophobic hate speech on social media inflicts considerable harm on both targeted individuals and wider society, and also risks reputational damage for the host platforms. Accordingly, there is a pressing need for robust tools to detect and classify Islamophobic hate speech at scale. Previous research has largely approached the detection of Islamophobic hate speech on social media as a binary task. However, the varied nature of Islamophobia means that this is often inappropriate for both t...

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Publication status:
Not published
Peer review status:
Not peer reviewed

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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Oxford Internet Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
Publication date:
2019-02-19
Keywords:
Pubs id:
pubs:955099
UUID:
uuid:916cca8a-a6df-402f-978f-14d3a16c0356
Local pid:
pubs:955099
Source identifiers:
955099
Deposit date:
2019-01-29

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