  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/.
