Papers by Célia Nouri

1 papers
Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights (2025.acl-long)

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Challenge: Existing approaches to detect abusive language often ignore conversational context, leading to inconsistent and sometimes inconclusive results.
Approach: They propose a graph neural network approach that uses conversational context to model social media conversations as graphs, where nodes represent comments and edges capture reply structures.
Outcome: The proposed model outperforms baseline and linear context-aware methods and achieves significant improvements in F1 scores.

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