Abstract
Online news is an important means to spread information. However, in order to attract readers, some online news writers often add pictures that have nothing to do with the news content, which seriously affects the credibility of the media. To solve these problems, we propose a news detection mechanism based on the knowledge graph, which can enrich the news image description and use the news image description to calculate the sentence similarity with the news text, so as to identify whether a news belongs to the news image mismatch. The realization of the image-text matching detection mechanism of news enhance the credibility of social media and purify the network environment.
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