{"type":"ScholarlyArticle","title":"ChronoFact: Timeline-based Temporal Fact Verification","authors":[{"name":"Anab Maulana Barik","slug":"anab-maulana-barik","given":"Anab Maulana","family":"Barik","affiliation":""},{"name":"Wynne Hsu","slug":"wynne-hsu","given":"Wynne","family":"Hsu","affiliation":""},{"name":"Mong Li Lee","slug":"mong-li-lee","given":"Mong Li","family":"Lee","affiliation":""}],"abstract":"Temporal claims, often riddled with inaccuracies, are a significant challenge in the digital misinformation landscape. Fact-checking systems that can accurately verify such claims are crucial for combating misinformation. Current systems struggle with the complexities of evaluating the accuracy of these claims, especially when they include multiple, overlapping, or recurring events. We introduce a novel timeline-based fact verification framework that identify events from both claim and evidence and organize them into their respective chronological timelines. The framework systematically examines the relationships between the events in both claim and evidence to predict the veracity of each claim event and their chronological accuracy. This allows us to accurately determine the overall veracity of the claim. We also introduce a new dataset of complex temporal claims involving timeline-based reasoning for the training and evaluation of our proposed framework. Experimental results demonstrate the effectiveness of our approach in handling the intricacies of temporal claim verification.","doi":"10.24963/ijcai.2025/893","url":"https://ijcai.org/proceedings/2025/893","pdf":"https://ijcai.org/proceedings/2025/0893.pdf","markdown":"https://ijcai.org/proceedings/2025/893.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/893","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Natural Language Processing","track":"Main Track","number":893,"pages":{"first":8031,"last":8039},"keywords":["AI Ethics, Trust, Fairness: ETF: Trustworthy AI","Natural Language Processing: NLP: Applications"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}