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ICheck: Computationally combating "lies, D - Ned Lies, and statistics"

Publication ,  Journal Article
Wu, Y; Walenz, B; Li, P; Shim, A; Sonmez, E; Agarwal, PK; Li, C; Yang, J; Yu, C
Published in: Proceedings of the ACM SIGMOD International Conference on Management of Data
January 1, 2014

Are you fed up with "lies, d - ned lies, and statistics" made up from data in our media? For claims based on structured data, we present a system to automatically assess the quality of claims (beyond their correctness) and counter misleading claims that cherry-pick data to advance their conclusions. The key insight is to model such claims as parameterized queries and consider how parameter perturbations affect their results. We demonstrate our system on claims drawn from U.S. congressional voting records, sports statistics, and publication records of database researchers.

Duke Scholars

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

January 1, 2014

Start / End Page

1063 / 1066
 

Citation

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Wu, Y., Walenz, B., Li, P., Shim, A., Sonmez, E., Agarwal, P. K., … Yu, C. (2014). ICheck: Computationally combating "lies, D - Ned Lies, and statistics". Proceedings of the ACM SIGMOD International Conference on Management of Data, 1063–1066. https://doi.org/10.1145/2588555.2594522
Wu, Y., B. Walenz, P. Li, A. Shim, E. Sonmez, P. K. Agarwal, C. Li, J. Yang, and C. Yu. “ICheck: Computationally combating "lies, D - Ned Lies, and statistics".” Proceedings of the ACM SIGMOD International Conference on Management of Data, January 1, 2014, 1063–66. https://doi.org/10.1145/2588555.2594522.
Wu Y, Walenz B, Li P, Shim A, Sonmez E, Agarwal PK, et al. ICheck: Computationally combating "lies, D - Ned Lies, and statistics". Proceedings of the ACM SIGMOD International Conference on Management of Data. 2014 Jan 1;1063–6.
Wu, Y., et al. “ICheck: Computationally combating "lies, D - Ned Lies, and statistics".” Proceedings of the ACM SIGMOD International Conference on Management of Data, Jan. 2014, pp. 1063–66. Scopus, doi:10.1145/2588555.2594522.
Wu Y, Walenz B, Li P, Shim A, Sonmez E, Agarwal PK, Li C, Yang J, Yu C. ICheck: Computationally combating "lies, D - Ned Lies, and statistics". Proceedings of the ACM SIGMOD International Conference on Management of Data. 2014 Jan 1;1063–1066.

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

DOI

ISSN

0730-8078

Publication Date

January 1, 2014

Start / End Page

1063 / 1066