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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 tough challenge in the case...
On November 10, at the fourth Fact Extraction and Verification workshop (FEVER), we will be announcing the winners of the third fact verification challenge in the...
At the 2021 Conference of the European Association for Computational Linguistics (EACL), we received honorable mention in the best-long-paper category for our paper “Hidden biases in unreliable...
The topics of truth and trust online have grown in importance in recent years, with consequences for millions of people globally. The research community must lead...