PledgeTracker: A System for Monitoring the Fulfilment of Pledges
Fuente:
arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912587607703552 |
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| author | Chen, Yulong Schlichtkrull, Michael Sejr Deng, Zhenyun Corney, David Asl, Nasim Salisbury, Joshua Dudfield, Andrew Vlachos, Andreas |
| author_facet | Chen, Yulong Schlichtkrull, Michael Sejr Deng, Zhenyun Corney, David Asl, Nasim Salisbury, Joshua Dudfield, Andrew Vlachos, Andreas |
| contents | Political pledges reflect candidates' policy commitments, but tracking their fulfilment requires reasoning over incremental evidence distributed across multiple, dynamically updated sources. Existing methods simplify this task into a document classification task, overlooking its dynamic, temporal and multi-document nature. To address this issue, we introduce \textsc{PledgeTracker}, a system that reformulates pledge verification into structured event timeline construction. PledgeTracker consists of three core components: (1) a multi-step evidence retrieval module; (2) a timeline construction module and; (3) a fulfilment filtering module, allowing the capture of the evolving nature of pledge fulfilment and producing interpretable and structured timelines. We evaluate PledgeTracker in collaboration with professional fact-checkers in real-world workflows, demonstrating its effectiveness in retrieving relevant evidence and reducing human verification effort. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_11804 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | PledgeTracker: A System for Monitoring the Fulfilment of Pledges Chen, Yulong Schlichtkrull, Michael Sejr Deng, Zhenyun Corney, David Asl, Nasim Salisbury, Joshua Dudfield, Andrew Vlachos, Andreas Computation and Language Political pledges reflect candidates' policy commitments, but tracking their fulfilment requires reasoning over incremental evidence distributed across multiple, dynamically updated sources. Existing methods simplify this task into a document classification task, overlooking its dynamic, temporal and multi-document nature. To address this issue, we introduce \textsc{PledgeTracker}, a system that reformulates pledge verification into structured event timeline construction. PledgeTracker consists of three core components: (1) a multi-step evidence retrieval module; (2) a timeline construction module and; (3) a fulfilment filtering module, allowing the capture of the evolving nature of pledge fulfilment and producing interpretable and structured timelines. We evaluate PledgeTracker in collaboration with professional fact-checkers in real-world workflows, demonstrating its effectiveness in retrieving relevant evidence and reducing human verification effort. |
| title | PledgeTracker: A System for Monitoring the Fulfilment of Pledges |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2509.11804 |