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The document presents the Video Misleading Headline (VMH) dataset, which consists of 2,247 videos annotated for misleading headlines to analyze the relationship between video content and its headlines. The study emphasizes the importance of detecting misleading video headlines, as they can distort the underlying content and mislead viewers. The authors also discuss the annotation process and the challenges faced in achieving high agreement among annotators regarding the misleading nature of headlines.

Author

2210414018

Language

EN