Posted by Gilles Jacobs on Nov. 25, 2020
We have two new publications on cyberbullying detection:
1. https://www.cambridge.org/core/journals/natural-language-engineering/article/automatic-classification-of-participant-roles-in-cyberbullying-can-we-detect-victims-bullies-and-bystanders-in-social-media-text/A2079C2C738C29428E666810B8903342 In "Automatic classification of participant roles in cyberbullying" we automatically identify bullies, victims and defenders from social media text using the AMiCA annotated cyberbullying dataset.
2. https://link.springer.com/article/10.1007/s10579-020-09509-1 In "Current limitations in cyberbullying detection" provides a cross-domain evaluation framework for cyberbullying detection research to overcome the limitations of data scarcity in this field.