Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection
Giovanni Da San Martino, Alberto Barrón‐Cedeño, Preslav Nakov · 2019
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/.