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Liar Liar Pants On Fire A New Benchmark Dataset For Fake News Detection

01/05/2017 Automatic fake news detection is a challenging problem in deception detection , and it has tremendous real-world political and social impacts.

However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets.

In this paper, we present liar : a new , publicly available dataset for fake news detection.

We collected a decade-long, 12.

8K.

# Liar, Liar Pants on Fire#: A New Benchmark Dataset for Fake News Detection William Yang Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA [email protected]

ucsb.

edu Abstract Automatic fake news detection is a chal-lenging problem in deception detection , and it has tremendous real-world politi-, In this paper, we present LIAR : a new , publicly available dataset for fake news detection.

We collected a decade-long, 12.

8K manually labeled short statements in various contexts from PolitiFact.

com, which provides detailed analysis report and links to source documents for each case.

This dataset can be used for fact-checking research as well.

Automatic fake news detection is a challenging problem in deception detection , and it has tremendous real-world political and social impacts.

However, statistical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets.

In this paper, we present liar : a new , publicly available dataset for fake news detection.

Liar, Liar Pants on Fire : A New Benchmark Dataset for Fake News Detection William Yang Department of Computer Science University of California, Santa Barbara Santa Barbara, CA 93106 USA [email protected]

ucsb.

edu Abstract Automatic fake news detection is a chal-lenging problem in deception detection , and it has tremendous real-world politi-, “ Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection ACL 2017 # William Yang Automatic fake news detection is a challenging problem in deception detection , and it has tremendous real-world political and social impacts.

William Yang : ” Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection.

CoRR abs/1705.

00648 (2017), ” Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection.

05/01/2017 # by William Yang , et al.

# The Regents of the University of California # 0 # share.

Automatic fake news detection is a challenging problem in deception detection , and it #, Data Collection: For implementing and testing the proposed system, # Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection # by William Yang was used.

The dataset in this repository was already divided into training set, validation set and test set.

liar liar pants on fire a new benchmark dataset for fake news detection