{"user_id":"241734","citation":{"ama":"Caron M, Bäumer F, Müller O. Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In: Proceedings of the 55th Hawaii International Conference on System Sciences. Proceedings of the Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences; 2022. doi:10.24251/HICSS.2022.098","mla":"Caron, Matthew, et al. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” Proceedings of the 55th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2022, doi:10.24251/HICSS.2022.098.","bibtex":"@inproceedings{Caron_Bäumer_Müller_2022, series={Proceedings of the Annual Hawaii International Conference on System Sciences}, title={Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models}, DOI={10.24251/HICSS.2022.098}, booktitle={Proceedings of the 55th Hawaii International Conference on System Sciences}, publisher={Hawaii International Conference on System Sciences}, author={Caron, Matthew and Bäumer, Frederik and Müller, Oliver}, year={2022}, collection={Proceedings of the Annual Hawaii International Conference on System Sciences} }","apa":"Caron, M., Bäumer, F., & Müller, O. (2022). Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In Proceedings of the 55th Hawaii International Conference on System Sciences. Maui, Hawaii: Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2022.098","chicago":"Caron, Matthew, Frederik Bäumer, and Oliver Müller. “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models.” In Proceedings of the 55th Hawaii International Conference on System Sciences. Proceedings of the Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2022. https://doi.org/10.24251/HICSS.2022.098.","ieee":"M. Caron, F. Bäumer, and O. Müller, “Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models,” in Proceedings of the 55th Hawaii International Conference on System Sciences, Maui, Hawaii, 2022.","alphadin":"Caron, Matthew ; Bäumer, Frederik ; Müller, Oliver: Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models. In: Proceedings of the 55th Hawaii International Conference on System Sciences, Proceedings of the Annual Hawaii International Conference on System Sciences : Hawaii International Conference on System Sciences, 2022","short":"M. Caron, F. Bäumer, O. Müller, in: Proceedings of the 55th Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences, 2022."},"publication":"Proceedings of the 55th Hawaii International Conference on System Sciences","title":"Towards Automated Moderation: Enabling Toxic Language Detection with Transfer Learning and Attention-Based Models","date_created":"2023-03-27T09:19:07Z","status":"public","_id":"2688","year":"2022","publication_status":"published","publication_identifier":{"isbn":["978-0-9981331-5-7"]},"abstract":[{"lang":"eng","text":"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."}],"conference":{"location":"Maui, Hawaii","name":"Hawaii International Conference on System Sciences","end_date":"2022-01-7","start_date":"2022-01-4"},"series_title":"Proceedings of the Annual Hawaii International Conference on System Sciences","main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/bitstreams/d788137e-37b9-4e56-9476-82fb1bd4dbad/download","open_access":"1"}],"type":"conference","language":[{"iso":"eng"}],"alternative_id":["1752"],"department":[{"_id":"4b2dc5c9-bee3-11eb-b75f-ecc80f94fb21"}],"date_updated":"2023-07-05T06:23:24Z","author":[{"full_name":"Caron, Matthew","last_name":"Caron","first_name":"Matthew"},{"orcid":"0000-0002-0826-0144","first_name":"Frederik","id":"241734","full_name":"Bäumer, Frederik","last_name":"Bäumer"},{"full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"}],"oa":"1","publisher":"Hawaii International Conference on System Sciences","quality_controlled":"1","doi":"10.24251/HICSS.2022.098"}