Time-Aware Evidence Ranking for Fact-Checking
- URL: http://arxiv.org/abs/2009.06402v4
- Date: Thu, 9 Sep 2021 11:41:26 GMT
- Title: Time-Aware Evidence Ranking for Fact-Checking
- Authors: Liesbeth Allein, Isabelle Augenstein and Marie-Francine Moens
- Abstract summary: We investigate the hypothesis that the timestamp of a Web page is crucial to how it should be ranked for a given claim.
Our study reveals that time-aware evidence ranking not only surpasses relevance assumptions based purely on semantic similarity or position in a search results list, but also improves veracity predictions of time-sensitive claims in particular.
- Score: 56.247512670779045
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Truth can vary over time. Fact-checking decisions on claim veracity should
therefore take into account temporal information of both the claim and
supporting or refuting evidence. In this work, we investigate the hypothesis
that the timestamp of a Web page is crucial to how it should be ranked for a
given claim. We delineate four temporal ranking methods that constrain evidence
ranking differently and simulate hypothesis-specific evidence rankings given
the evidence timestamps as gold standard. Evidence ranking in three
fact-checking models is ultimately optimized using a learning-to-rank loss
function. Our study reveals that time-aware evidence ranking not only surpasses
relevance assumptions based purely on semantic similarity or position in a
search results list, but also improves veracity predictions of time-sensitive
claims in particular.
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