{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T16:38:07Z","timestamp":1764002287649,"version":"3.41.0"},"reference-count":75,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T00:00:00Z","timestamp":1559088000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["J. Data and Information Quality"],"published-print":{"date-parts":[[2019,9,30]]},"abstract":"<jats:p>\n            We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: (\n            <jats:italic>i<\/jats:italic>\n            )\u00a0detecting check-worthy claims and (\n            <jats:italic>ii<\/jats:italic>\n            )\u00a0fact-checking claims. We develop supervised systems based on neural networks, kernel-based support vector machines, and combinations thereof, which make use of rich input representations in terms of discourse cues and contextual features. For the check-worthiness estimation task, we focus on political debates, and we model the target claim in the context of the full intervention of a participant and the previous and following turns in the debate, taking into account contextual meta information. For the fact-checking task, we focus on answer verification in a community forum, and we model the veracity of the answer with respect to the entire question\u2013answer thread in which it occurs as well as with respect to other related posts from the entire forum. We develop annotated datasets for both tasks and we run extensive experimental evaluation, confirming that both types of information\u2014but especially contextual features\u2014play an important role.\n          <\/jats:p>","DOI":"10.1145\/3297722","type":"journal-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T12:41:00Z","timestamp":1559220060000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["Automatic Fact-Checking Using Context and Discourse Information"],"prefix":"10.1145","volume":"11","author":[{"given":"Pepa","family":"Atanasova","sequence":"first","affiliation":[{"name":"Sofia University \u201cSt. Kliment Ohridski,\u201d Bulgaria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Preslav","family":"Nakov","sequence":"additional","affiliation":[{"name":"Qatar Computing Research Institute, HBKU, Doha, 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