Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models

M. Caron, F.S. Bäumer, O. Müller, in: 55th Annual Hawaii International Conference on System Sciences (HICSS 2022), n.d.

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Conference Paper | Accepted | English
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Abstract
Our world is more connected than ever before. Sadly, however, this highly connected world has made it easier to bully, insult, and propagate hate speech on the cyberspace. Even though researchers and companies alike have started investigating this real-world problem, the question remains as to why users are increasingly being exposed to hate and discrimination online. In fact, the noticeable and persistent increase in harmful language on social media platforms indicates that the situation is, actually, only getting worse. Hence, in this work, we show that contemporary ML methods can help tackle this challenge in an accurate and cost-effective manner. Our experiments demonstrate that a universal approach combining transfer learning methods and state-of-the-art Transformer architectures can trigger the efficient development of toxic language detection models. Consequently, with this universal approach, we provide platform providers with a simplistic approach capable of enabling the automated moderation of user-generated content, and as a result, hope to contribute to making the web a safer place.
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Proceedings Title
55th Annual Hawaii International Conference on System Sciences (HICSS 2022)
Conference
55th Annual Hawaii International Conference on System Sciences (HICSS 2022)
Conference Location
Online
Conference Date
2022-01-03 – 2022-01-07
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Caron M, Bäumer FS, Müller O. Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In: 55th Annual Hawaii International Conference on System Sciences (HICSS 2022).
Caron, M., Bäumer, F. S., & Müller, O. (n.d.). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. 55th Annual Hawaii International Conference on System Sciences (HICSS 2022). 55th Annual Hawaii International Conference on System Sciences (HICSS 2022), Online.
@inproceedings{Caron_Bäumer_Müller, title={Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models}, booktitle={55th Annual Hawaii International Conference on System Sciences (HICSS 2022)}, author={Caron, Matthew and Bäumer, Frederik S. and Müller, Oliver} }
Caron, Matthew, Frederik S. Bäumer, and Oliver Müller. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” In 55th Annual Hawaii International Conference on System Sciences (HICSS 2022), n.d.
M. Caron, F. S. Bäumer, and O. Müller, “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models,” presented at the 55th Annual Hawaii International Conference on System Sciences (HICSS 2022), Online.
Caron, Matthew, et al. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” 55th Annual Hawaii International Conference on System Sciences (HICSS 2022).

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