« Back to publications

Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT

Peiling Yi, Arkaitz Zubiaga

Hypertext. 2021.

Download PDF fileAccess publication
Teenager detection is an important case of the age detection task in social media, which aims to detect teenage users to protect them from negative influences. The teenager detection task suffers from the scarcity of labelled data, which exacerbates the ability to perform well across social media platforms. To further research in teenager detection in settings where no labelled data is available for a platform, we propose a novel cross-platform framework based on Adversarial BERT. Our framework can operate with a limited amount of labelled instances from the source platform and with no labelled data from the target platform, transferring knowledge from the source to the target social media. We experiment on four publicly available datasets, obtaining results demonstrating that our framework can significantly improve over competitive baseline modelson the cross-platform teenager detection task.
  title={Weakly Supervised Cross-platform Teenager Detection with Adversarial BERT},
  author={Yi, Peiling and Zubiaga, Arkaitz},
  booktitle={Proceedings of the 32nd ACM Conference on Hypertext and Social Media},