Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
An exploration of off topic conversation
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Collecting image annotations using Amazon's Mechanical Turk
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Finding deceptive opinion spam by any stretch of the imagination
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
Persuasive language and virality in social networks
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Divide and conquer: crowdsourcing the creation of cross-lingual textual entailment corpora
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Estimating the prevalence of deception in online review communities
Proceedings of the 21st international conference on World Wide Web
Seeing through deception: a computational approach to deceit detection in written communication
EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection
In search of a gold standard in studies of deception
EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection
On the use of homogenous sets of subjects in deceptive language analysis
EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection
EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection
Towards multimodal deception detection -- step 1: building a collection of deceptive videos
Proceedings of the 14th ACM international conference on Multimodal interaction
Syntactic stylometry for deception detection
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
A tentative study on the annotation of evidentiality
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Automatic detection of deceit in verbal communication
Proceedings of the 15th ACM on International conference on multimodal interaction
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In this paper, we present initial experiments in the recognition of deceptive language. We introduce three data sets of true and lying texts collected for this purpose, and we show that automatic classification is a viable technique to distinguish between truth and falsehood as expressed in language. We also introduce a method for class-based feature analysis, which sheds some light on the features that are characteristic for deceptive text.