Cyberbullying detection across social media platforms via platform-aware adversarial encoding

Peiling Yi; Arkaitz Zubiaga

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arXiv · 2204.00334

Cyberbullying detection across social media platforms via platform-aware adversarial encoding

Peiling Yi·Arkaitz Zubiaga

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Abstract

Despite the increasing interest in cyberbullying detection, existing efforts have largely been limited to experiments on a single platform and their generalisability across different social media platforms have received less attention. We propose XP-CB, a novel cross-platform framework based on Transformers and adversarial learning. XP-CB can enhance a Transformer leveraging unlabelled data from the source and target platforms to come up with a common representation while preventing platform-specific training. To validate our proposed framework, we experiment on cyberbullying datasets from three different platforms through six cross-platform configurations, showing its effectiveness with both BERT and RoBERTa as the underlying Transformer models.

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Peiling Yi, Arkaitz Zubiaga. 2022-04-01. Cyberbullying detection across social media platforms via platform-aware adversarial encoding. https://arxiv.org/abs/2204.00334

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