We present the shared task on Fine-Grained Propaganda Detection, which was organized as part of the NLP4IF workshop at EMNLP-IJCNLP 2019. There were two subtasks. FLC is a fragment-level task that asks for the identification of propagandist text fragments in a news article and also for the prediction of the specific propaganda technique used in each such fragment (18-way classification task). SLC is a sentence-level binary classification task asking to detect the sentences that contain propaganda. A total of 12 teams submitted systems for the FLC task, 25 teams did so for the SLC task, and 14 teams eventually submitted a system description paper. For both subtasks, most systems managed to beat the baseline by a sizable margin. The leaderboard and the data from the competition are available at http://propaganda.qcri.org/nlp4if-shared-task/.
@article{arxiv.1910.09982,
title = {Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection},
author = {Giovanni Da San Martino and Alberto Barrón-Cedeño and Preslav Nakov},
journal= {arXiv preprint arXiv:1910.09982},
year = {2019}
}
Comments
propaganda, disinformation, fake news. arXiv admin note: text overlap with arXiv:1910.02517