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- Publisher Website: 10.1109/MASS.2015.39
- Scopus: eid_2-s2.0-84964671832
- WOS: WOS:000380548300018
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Conference Paper: Towards time-sensitive truth discovery in social sensing applications
Title | Towards time-sensitive truth discovery in social sensing applications |
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Authors | |
Keywords | Claim Lifespan Expectation Maximization Maximum Likelihood Estimation Social Sensing Source Responsiveness Time-sensitive Truth Discovery |
Issue Date | 2015 |
Citation | Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015, 2015, p. 154-162 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/308905 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Chao | - |
dc.contributor.author | Wang, Dong | - |
dc.contributor.author | Chawla, Nitesh | - |
dc.date.accessioned | 2021-12-08T07:50:22Z | - |
dc.date.available | 2021-12-08T07:50:22Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015, 2015, p. 154-162 | - |
dc.identifier.uri | http://hdl.handle.net/10722/308905 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015 | - |
dc.subject | Claim Lifespan | - |
dc.subject | Expectation Maximization | - |
dc.subject | Maximum Likelihood Estimation | - |
dc.subject | Social Sensing | - |
dc.subject | Source Responsiveness | - |
dc.subject | Time-sensitive | - |
dc.subject | Truth Discovery | - |
dc.title | Towards time-sensitive truth discovery in social sensing applications | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/MASS.2015.39 | - |
dc.identifier.scopus | eid_2-s2.0-84964671832 | - |
dc.identifier.spage | 154 | - |
dc.identifier.epage | 162 | - |
dc.identifier.isi | WOS:000380548300018 | - |