Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information

Alexander G. Ororbia, Yang Xu, Vito D’Orazio, David Reitter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A discriminative model is presented for crowd-sourcing the annotation of news stories to produce a structured dataset about incidents involving militarized disputes between nation-states. We used a question tree to gather partially redundant data from each crowd worker. A lattice of Bayesian Networks was then applied to error correct the individual worker annotations, the results of which were then aggregated via majority voting. The resulting hybrid model outperformed comparable, state-of-the-art aggregation models in both accuracy and computational scalability.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings
EditorsKevin Xu, Nitin Agarwal, Nathaniel Osgood
PublisherSpringer Verlag
Pages381-387
Number of pages7
ISBN (Electronic)9783319162676
DOIs
StatePublished - Jan 1 2015
Event8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015 - Washington, United States
Duration: Mar 31 2015Apr 3 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9021
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015
CountryUnited States
CityWashington
Period3/31/154/3/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ororbia, A. G., Xu, Y., D’Orazio, V., & Reitter, D. (2015). Error-Correction and Aggregation in Crowd-Sourcing of Geopolitical Incident Information. In K. Xu, N. Agarwal, & N. Osgood (Eds.), Social Computing, Behavioral-Cultural Modeling, and Prediction - 8th International Conference, SBP 2015, Proceedings (pp. 381-387). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9021). Springer Verlag. https://doi.org/10.1007/978-3-319-16268-3_47