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ACL-IJCNLP 2021
Conference paper

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection

ACL-IJCNLP 2021
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Abstract

To defend against neural system-generated fake news, an effective mechanism is urgently needed. We contribute a novel benchmark for fake news detection at the knowledge element level, as well as a solution for this task which incorporates cross-media consistency checking to detect the fine-grained knowledge elements making news articles misinformative. Due to training data scarcity, we also formulate a novel data synthesis method by manipulating knowledge elements within the knowledge graph to generate noisy training data with specific, hard to detect, known inconsistencies. Our detection approach outperforms the state-of-the-art (up to 16.8% absolute accuracy gain), and more critically, yields fine-grained explanations.

Date

01 Aug 2021

Publication

ACL-IJCNLP 2021

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