Fact checking in community forums

Tsvetomila Mihaylova, Preslav Nakov, Lluis Marques, Alberto Barron, Mitra Mohtarami, Georgi Karadzhov, James Glass

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Community Question Answering (cQA) forums are very popular nowadays, as they represent effective means for communities around particular topics to share information. Unfortunately, this information is not always factual. Thus, here we explore a new dimension in the context of cQA, which has been ignored so far: checking the veracity of answers to particular questions in cQA forums. As this is a new problem, we create a specialized dataset for it. We further propose a novel multi-faceted model, which captures information from the answer content (what is said and how), from the author profile (who says it), from the rest of the community forum (where it is said), and from external authoritative sources of information (external support). Evaluation results show a MAP value of 86.54, which is 21 points absolute above the baseline.

Original languageEnglish
Title of host publication32nd AAAI Conference on Artificial Intelligence, AAAI 2018
PublisherAAAI press
Pages5309-5316
Number of pages8
ISBN (Electronic)9781577358008
Publication statusPublished - 1 Jan 2018
Event32nd AAAI Conference on Artificial Intelligence, AAAI 2018 - New Orleans, United States
Duration: 2 Feb 20187 Feb 2018

Other

Other32nd AAAI Conference on Artificial Intelligence, AAAI 2018
CountryUnited States
CityNew Orleans
Period2/2/187/2/18

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Mihaylova, T., Nakov, P., Marques, L., Barron, A., Mohtarami, M., Karadzhov, G., & Glass, J. (2018). Fact checking in community forums. In 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 (pp. 5309-5316). AAAI press.