An adversarial methodology generates a multilingual cross-platform dataset of paired human-AI social messages, and models trained on it outperform prior detectors on real-world out-of-distribution data.
and Ferrara, Emilio and Flammini, Alessandro and Menczer, Filippo , title =
2 Pith papers cite this work. Polarity classification is still indexing.
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A new taxonomy of malicious actor activities in OSNs is developed via expert collaboration and literature review, then applied to an anti-migration discourse case study.
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Adversarial Creation and Detection of AI-Generated Social Bot Content
An adversarial methodology generates a multilingual cross-platform dataset of paired human-AI social messages, and models trained on it outperform prior detectors on real-world out-of-distribution data.
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Behind the Mask: A Taxonomic Analysis of Activities in Online Social Networks
A new taxonomy of malicious actor activities in OSNs is developed via expert collaboration and literature review, then applied to an anti-migration discourse case study.