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Technol."],"published-print":{"date-parts":[[2024,12,31]]},"abstract":"<jats:p>\n            This article presents the latest developments to ClaimBuster\u2019s claim-spotting model, which tackles the critical task of identifying check-worthy claims from large streams of information. We introduce the first adversarially regularized, transformer-based claim-spotting model, which achieves state-of-the-art results on several benchmark datasets. In addition to analyzing model performance metrics, we also quantitatively and qualitatively analyze the impact of ClaimBuster\u2019s real-world deployment. Moreover, to help facilitate reproducibility and community engagement, we publicly release our codebase, dataset, data curation platform, API, Google Colab notebooks, and various ClaimBuster-based demo systems, at\n            <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/claimbuster.org\">claimbuster.org<\/jats:ext-link>\n            .\n          <\/jats:p>","DOI":"10.1145\/3689212","type":"journal-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T10:36:12Z","timestamp":1724150172000},"page":"1-25","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims"],"prefix":"10.1145","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7336-5797","authenticated-orcid":false,"given":"Kevin","family":"Meng","sequence":"first","affiliation":[{"name":"Massachusetts Institute of Technology, Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3364-8607","authenticated-orcid":false,"given":"Damian","family":"Jimenez","sequence":"additional","affiliation":[{"name":"The University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5277-8092","authenticated-orcid":false,"given":"Jacob Daniel","family":"Devasier","sequence":"additional","affiliation":[{"name":"The University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6159-7402","authenticated-orcid":false,"given":"Sai Sandeep","family":"Naraparaju","sequence":"additional","affiliation":[{"name":"The University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2386-9951","authenticated-orcid":false,"given":"Fatma","family":"Arslan","sequence":"additional","affiliation":[{"name":"The University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9890-4208","authenticated-orcid":false,"given":"Daniel","family":"Obembe","sequence":"additional","affiliation":[{"name":"The University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1724-8278","authenticated-orcid":false,"given":"Chengkai","family":"Li","sequence":"additional","affiliation":[{"name":"The University of Texas at Arlington, Arlington, TX, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,11,19]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","author":"Abadi Martin","year":"2016","unstructured":"Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, et al. 2016. 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