  We present the results and the main findings of SemEval-2020 Task 11 on
Detection of Propaganda Techniques in News Articles. The task featured two
subtasks. Subtask SI is about Span Identification: given a plain-text document,
spot the specific text fragments containing propaganda. Subtask TC is about
Technique Classification: given a specific text fragment, in the context of a
full document, determine the propaganda technique it uses, choosing from an
inventory of 14 possible propaganda techniques. The task attracted a large
number of participants: 250 teams signed up to participate and 44 made a
submission on the test set. In this paper, we present the task, analyze the
results, and discuss the system submissions and the methods they used. For both
subtasks, the best systems used pre-trained Transformers and ensembles.
