Papers by Ivo Verhoeven

1 papers
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection (2024.findings-naacl)

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Challenge: despite the performance of community models for malicious content detection, misinformation and hate speech continue to propagate on social media networks.
Approach: They propose a new evaluation setup for community models for malicious content detection based on a few-shot subgraph sampling approach to test generalisation of models using local explorations of a larger graph.
Outcome: The proposed evaluation setup outperforms existing models on real-world graphs on a training graph.

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