This research introduces FMNV, a novel dataset of high-quality, professionally-produced fake news videos from media outlets, addressing a critical gap in multimodal fake news detection.

• First dataset focusing on media-published news videos rather than user-generated content
• Contains videos with professional editing quality and high public engagement
• Enables detection of politically or virally motivated fake news with greater societal impact
• Advances multimodal security approaches for identifying sophisticated misinformation

This work is crucial for security professionals as it targets high-impact deception that poses significant societal harm, moving beyond amateur content to address professional misinformation at scale.

FMNV: A Dataset of Media-Published News Videos for Fake News Detection