ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic (P19-2)
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| Challenge: | Existing methods to detect hate speech in Arabic rely on textual cues and social network graphs. |
| Approach: | They propose to use Arabic word embeddings and social network graphs to profile hate speech in Arabic. |
| Outcome: | The proposed model incorporates Arabic Word Embeddings and Social Network Graphs for the detection of religious hate speech in Arabic. |
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