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Register a new userNewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
newsclippings: الجيل التلقائي لوسائط الوسائط المتعددة خارج السياق
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التضليل عبر الإنترنت هو قضية اجتماعية سائدة، مع anversaries تعتمد على الأدوات التي تتراوح من مزيفة رخيصة إلى مزيفة عميقة متطورة. نحن دوافع من سيناريو التهديد حيث يتم استخدام صورة خارج السياق لدعم سرد معين. في حين أن بعض مجموعات البيانات السابقة للكشف عن تناسق نص الصورة تولد عينات من خلال معالجة النص، نقترح مجموعة بيانات حيث تكون كل من الصور والنص غير المدمجة ولكن غير متطابقة. نقدم عدة استراتيجيات لاستعادة الصور المقنعة تلقائيا للحصول على تعليق معين، والتقاط الحالات مع كيانات غير متناسقة أو السياق الدلالي. لدينا نطاق واسع النطاق تلقائيا لوحة بيانات الأخبار: (1) يوضح أن إعادة شحن الصورة التي يحركها الجهاز هي الآن تهديد واقعي، و (2) توفر عينات تمثل حالات تحديا غير متطابقة بين النص والصورة في الأخبار التي تتمكن من تضليل البشر وبعد نحن نقسم عدة نماذج متعددة الوسائط في مجموعة بياناتنا وتحليل أدائها عبر مجالات محاكمة مختلفة والشبكات المرئية.
Online misinformation is a prevalent societal issue, with adversaries relying on tools ranging from cheap fakes to sophisticated deep fakes. We are motivated by the threat scenario where an image is used out of context to support a certain narrative. While some prior datasets for detecting image-text inconsistency generate samples via text manipulation, we propose a dataset where both image and text are unmanipulated but mismatched. We introduce several strategies for automatically retrieving convincing images for a given caption, capturing cases with inconsistent entities or semantic context. Our large-scale automatically generated the NewsCLIPpings Dataset: (1) demonstrates that machine-driven image repurposing is now a realistic threat, and (2) provides samples that represent challenging instances of mismatch between text and image in news that are able to mislead humans. We benchmark several state-of-the-art multimodal models on our dataset and analyze their performance across different pretraining domains and visual backbones.
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