On Spatial-temporal Truth Finding in Social Sensing

Chao Huang, Dong Wang, Nitesh Chawla

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

Abstract

This paper presents a spatial-temporal aware analytical framework to solve the truth finding problem in social sensing applications. Social sensing has emerged as a new big data application paradigm of collecting observations about the physical environment from social sensors (e.g., humans) or devices on their behalf. The collected observations may be true or false, and hence are viewed as binary claims. A fundamental challenge in social sensing applications lies in accurately ascertaining the correctness of claims and the reliability of data sources without knowing either of them a priori. This challenge is referred to as truth finding. Significant efforts have been made to address this challenge but two important features were largely missing in the state-of-the-arts solutions: when and where the claims are reported by a source. In this paper, we develop a new spatial-temporal aware truth finding scheme to explicitly incorporate the time information of a claim and location information of a source into a rigorous analytical framework. The new truth finding scheme solves a constraint optimization problem to determine both the source reliability and claim correctness. We evaluated the spatial-temporal aware truth finding scheme through an extensive simulation study. The initial results show that our new scheme outperforms all the compared state-of-the-art baselines and significantly improves the truth finding accuracy in social sensing applications.

Original languageEnglish (US)
Title of host publication2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages151-153
Number of pages3
ISBN (Electronic)9781467373319
DOIs
StatePublished - Nov 25 2015
Externally publishedYes
Event12th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2015 - Seattle, United States
Duration: Jun 22 2015Jun 25 2015

Publication series

Name2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2015

Other

Other12th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2015
Country/TerritoryUnited States
CitySeattle
Period6/22/156/25/15

Keywords

  • Big Data
  • Expectation Maximization
  • Maximum Likelihood Estimation
  • Social Sensing
  • Spatial-Temporal
  • Truth Finding

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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