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Information verification in social networks based on user feedback and news agencies

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Abstract

The information on the web is mixed with rumors and unverified information. Additionally, social networks as a special and wide subsection of the web have more potential for spreading and creating misinformation or unverified information. Because of the significance of this issue, and to enhance the information verification performance, in this paper information verification in social networks is investigated. It seems that several features and conditions are effectual on rumor detection. Among possible effective features and properties, we consider two main sources for information verification in social networks that include user feedback and news agencies. User feedbacks as the first source can be user conversational tree. Some patterns can be extracted from this tree. News agencies as the second source are also utilized for verification of information by textual entailment methods. Finally, these two types of features are aggregated to classify the information in one of the three classes of true, false, or unverified. This method is tested through the experiments with public datasets. The results of experiments show that the hybrid suggested method for information verification could pass the state-of-the-art methods in information verification.

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Acknowledgements

This research was in part supported by a Grant from IPM (No. CS1397-4-98).

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Authors and Affiliations

  1. Department of Computer Science, School of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran

    Arefeh Yavary & Hedieh Sajedi

  2. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran

    Mohammad Saniee Abadeh

  3. School of Computer Science, Institute for Research in Fundamental Science (IPM), Tehran, Iran

    Mohammad Saniee Abadeh

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  1. Arefeh Yavary
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  2. Hedieh Sajedi
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  3. Mohammad Saniee Abadeh
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Correspondence to Hedieh Sajedi.

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Yavary, A., Sajedi, H. & Saniee Abadeh, M. Information verification in social networks based on user feedback and news agencies. Soc. Netw. Anal. Min. 10, 2 (2020). https://doi.org/10.1007/s13278-019-0616-4

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