  This paper reports on the ReINTEL Shared Task for Responsible Information
Identification on social network sites, which is hosted at the seventh annual
workshop on Vietnamese Language and Speech Processing (VLSP 2020). Given a
piece of news with respective textual, visual content and metadata,
participants are required to classify whether the news is `reliable' or
`unreliable'. In order to generate a fair benchmark, we introduce a novel
human-annotated dataset of over 10,000 news collected from a social network in
Vietnam. All models will be evaluated in terms of AUC-ROC score, a typical
evaluation metric for classification. The competition was run on the Codalab
platform. Within two months, the challenge has attracted over 60 participants
and recorded nearly 1,000 submission entries.
