Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat. Our work aims to investigate the viability of an automatic multiclass cyberbullying detection model that is able to classify whether a cyberbully is targeting a victim’s age, ethnicity, gender, religion, or other quality. Previous literature has not yet explored making fine-grained cyberbullying classifications of such magnitude, and existing cyberbullying datasets suffer from quite severe class imbalances.

Dataset Files

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Documentation: 
[1] Jason Wang, Kaiqun Fu, Chang-Tien Lu, "Fine-Grained Balanced Cyberbullying Dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/kn1c-zx22. Accessed: May. 18, 2022.
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doi = {10.21227/kn1c-zx22},
url = {http://dx.doi.org/10.21227/kn1c-zx22},
author = {Jason Wang; Kaiqun Fu; Chang-Tien Lu },
publisher = {IEEE Dataport},
title = {Fine-Grained Balanced Cyberbullying Dataset},
year = {2020} }
TY - DATA
T1 - Fine-Grained Balanced Cyberbullying Dataset
AU - Jason Wang; Kaiqun Fu; Chang-Tien Lu
PY - 2020
PB - IEEE Dataport
UR - 10.21227/kn1c-zx22
ER -
Jason Wang, Kaiqun Fu, Chang-Tien Lu. (2020). Fine-Grained Balanced Cyberbullying Dataset. IEEE Dataport. http://dx.doi.org/10.21227/kn1c-zx22
Jason Wang, Kaiqun Fu, Chang-Tien Lu, 2020. Fine-Grained Balanced Cyberbullying Dataset. Available at: http://dx.doi.org/10.21227/kn1c-zx22.
Jason Wang, Kaiqun Fu, Chang-Tien Lu. (2020). "Fine-Grained Balanced Cyberbullying Dataset." Web.
1. Jason Wang, Kaiqun Fu, Chang-Tien Lu. Fine-Grained Balanced Cyberbullying Dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/kn1c-zx22
Jason Wang, Kaiqun Fu, Chang-Tien Lu. "Fine-Grained Balanced Cyberbullying Dataset." doi: 10.21227/kn1c-zx22