Papers by Priyansh Singhal
When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech (2026.eacl-short)
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| Challenge: | Existing methods for hate speech detection treat hate speech as a monolithic phenomenon, ignoring the speaker’s motivations and potential societal consequences. |
| Approach: | They propose a dataset with a dual taxonomy that separates Intent (why the speaker produced hate speech) and Impact (what harm it may cause to individuals and communities) they propose to use this data to enable content moderation and user safety. |
| Outcome: | The proposed dataset captures Intent (why the speaker produced hate speech) and Impact (what harm it may cause to individuals and communities) of online hateful posts. |