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10.1016_j.ipm.2023.103414.pdf (1.28 MB)

This is not new! Spotting previously-verified claims over Twitter

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journal contribution
submitted on 2024-01-29, 07:22 and posted on 2024-01-29, 07:23 authored by Watheq Mansour, Tamer Elsayed, Abdulaziz Al-Ali

Several fake claims are commonly repeated over time, especially on social media. To identify such previous claims, the verified claim retrieval task was studied, where, for a given input claim, the goal is to find previously-verified claims that are relevant to it. However, this view assumes that each claim was already verified, which may not be true for all claims in the real-world scenario. In this work, we introduce the Verified Claim Checking problem over Twitter, in which the relevant verified claims are retrieved only if the input claim was indeed previously-verified, thus saving computation time. We address the problem by proposing SpotVC, an end-to-end approach consisting of two stages, namely a filter and a reranker. The proposed filter achieved an average F1 of 0.81 while significantly reducing computation time. Moreover, the proposed reranker outperformed the state-of-the-art models on two public datasets and provided on-par performance on a third one. Overall, our proposed system exhibits an effective operational balance in the trade-off between efficiency and effectiveness for the real-world scenario.

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Published in: Information Processing & Management
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Open Access funding provided by the Qatar National Library.



  • English



Publication Year

  • 2023

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This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Qatar University
  • College of Arts and Sciences - QU
  • College of Engineering - QU
  • KINDI Center for Computing Research - CENG

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