Conversational Networks For Automatic Online Moderation

Figures and data used in the following articles :

É. Papégnies, V. Labatut, R. Dufour, and G. Linarès, “Conversational Networks for Automatic Online Moderation,” IEEE Transactions on Computational Social Systems 6(1):38–55, 2019. ⟨hal-01999546⟩ DOI: 10.1109/tcss.2018.2887240

N. Cécillon, V. Labatut, R. Dufour, and G. Linarès, “Abusive Language Detection in Online Conversations by Combining Content- and Graph-based Features,” in International Workshop on Modeling and Mining Socia-Media Driven Complex Networks, 2019, Frontiers in Big Data 2:8. ⟨hal-02130205⟩ DOI: 10.3389/fdata.2019.00008

The graphs correspond to conversational networks extracted from the chat messages exchanged by players of an MMORPG, using the method described in the first paper. Those are used in the papers to train a classifier into recognizing abusive messages. See the papers for more details.

If you use this dataset, please cite the first paper.

Funding: part of this work was funded by a grant from the Provence-Alpes-Côte-d'Azur region (PACA, France) and the Nectar de Code company.