  News media, especially video news media, have penetrated into every aspect of
daily life, which also brings the risk of fake news. Therefore, multimodal fake
news detection has recently received more attention. However, the number of
fake news detection data sets for video modal is small, and these data sets are
composed of unofficial videos uploaded by users, so there is too much useless
data. To solve this problem, we present in this paper a dataset named
Official-NV, which consists of officially published news videos on Xinhua. We
crawled videos on Xinhua, and then extended the data set using LLM generation
and manual modification. In addition, we benchmarked the data set presented in
this paper using a baseline model to demonstrate the advantage of Official-NV
in multimodal fake news detection.
