Towards Time-sensitive Truth Discovery in Social Sensing Applications

Chao Huang, Dong Wang, Nitesh Chawla

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

Abstract

This paper develops a new principled framework for exploiting time-sensitive information to improve the truth discovery accuracy in social sensing applications. This work is motivated by the emergence of social sensing as a new paradigm of collecting observations about the physical environment from humans or devices on their behalf. These observations maybe true or false, and hence are viewed as binary claims. A fundamental problem in social sensing applications lies in ascertaining the correctness of claims and the reliability of data sources. We refer to this problem as truth discovery. Time is a critical dimension that needs to be carefully exploited in the truth discovery solutions. In this paper, we develop a new time-sensitive truth discovery scheme that explicitly incorporates the source responsiveness and the claim lifespan into a rigorous analytical framework. The new truth discovery scheme solves a maximum likelihood estimation problem to determine both the claim correctness and the source reliability. We compare our time-sensitive scheme with the state-of-the-art baselines through an extensive simulation study and a real world case study. The evaluation results showed that our new scheme outperforms all compared baselines and significantly improves the truth discovery accuracy in social sensing applications.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-162
Number of pages9
ISBN (Electronic)9781467391009
DOIs
StatePublished - Dec 28 2015
Externally publishedYes
Event12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015 - Dallas, United States
Duration: Oct 19 2015Oct 22 2015

Publication series

NameProceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015

Other

Other12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
Country/TerritoryUnited States
CityDallas
Period10/19/1510/22/15

Keywords

  • Claim Lifespan
  • Expectation Maximization
  • Maximum Likelihood Estimation
  • Social Sensing
  • Source Responsiveness
  • Time-sensitive
  • Truth Discovery

ASJC Scopus subject areas

  • Instrumentation
  • Computer Networks and Communications
  • Signal Processing

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