Truth and trust online
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The FEVER data set: What doesn’t kill it will make it stronger
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This year at the Conference on Empirical Methods in Natural-Language Processing (EMNLP), we will cohost the Second Workshop on Fact Extraction and ...

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Third Conference on Truth and Trust Online open for submissions
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The topics of truth and trust online have grown in importance in recent years, with consequences for millions of people globally. The research community ...

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Amazon paper exposes biases in unreliable-news datasets
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At the 2021 Conference of the European Association for Computational Linguistics (EACL), we received honorable mention in the best-long-paper category for ...

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Automated fact-checking using evidence from tables and text
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On November 10, at the fourth Fact Extraction and Verification workshop (FEVER), we will be announcing the winners of the third fact verification challenge ...

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Anomaly detection for graph-based data
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Anomaly detection is the identification of data that diverges significantly from established norms, which can indicate harmful activity. It’s a particularly ...

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