Annotating live messages on social media. Testing the efficiency of the AnnotHate – live data annotation portal
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42001-024-00251-0.pdf
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2. Hovy, D., & Prabhumoye, S. (2021). Five Sources of bias in natural language processing. Language and Linguistics Compass. https://doi.org/10.1111/lnc3.12432
3. Ljubešić, N., Mozetič, I., & Novak, P. K. (2022). Quantifying the impact of context on the quality of manual hate speech annotation. Natural Language Engineering. https://doi.org/10.1017/S1351324922000353
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5. Menini, S., Moretti, G., Corazza,M., Cabrio, E., Tonelli, S., & Villata, S. (2019). A system to monitor cyberbullying based on message classification and social network analysis. In Proceedings of the Third Workshop on Abusive Language Online, 105–10. Florence, Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/W19-3511.
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