dc.contributor.author | Azevedo, Lucas | |
dc.contributor.author | Moustafa, Mohamed | |
dc.date.accessioned | 2019-11-19T15:41:43Z | |
dc.date.available | 2019-11-19T15:41:43Z | |
dc.date.issued | 2019-11-03 | |
dc.identifier.citation | Azevedo, Lucas , & Moustafa, Mohamed (2019). Veritas annotator: Discovering the origin of a rumour. Paper presented at the Second Workshop on Fact Extraction and VERification (FEVER), Hong Kong, China, 3-7 November. | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/15581 | |
dc.description.abstract | Defined as the intentional or unintentional
spread of false information (K et al., 2019)
through context and/or content manipulation,
fake news has become one of the most serious
problems associated with online information
(Waldrop, 2017). Consequently, it comes as
no surprise that Fake News Detection has
become one of the major foci of various
fields of machine learning and while machine
learning models have allowed individuals
and companies to automate decision-based
processes that were once thought to be only
doable by humans, it is no secret that the
real-life applications of such models are not
viable without the existence of an adequate
training dataset. In this paper we describe
the Veritas Annotator, a web application for
manually identifying the origin of a rumour.
These rumours, often referred as claims,
were previously checked for validity by
Fact-Checking Agencies. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Association for Computational Linguistics (ACL) | en_IE |
dc.relation.ispartof | Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER) | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Veritas Annotator | en_IE |
dc.subject | Rumour | en_IE |
dc.subject | Origin | en_IE |
dc.title | Veritas annotator: Discovering the origin of a rumour | en_IE |
dc.type | Workshop paper | en_IE |
dc.date.updated | 2019-11-18T15:29:42Z | |
dc.identifier.doi | 10.18653/v1/D19-6614 | |
dc.local.publishedsource | https://dx.doi.org/10.18653/v1/D19-6614 | en_IE |
dc.description.peer-reviewed | peer-reviewed | |
dc.internal.rssid | 18493426 | |
dc.local.contact | Lucas Azevedo, Ids Business Park, Insight Centre For Data Analytics, Galway, Co. Galway, Ireland, Republic Of. Email: l.azevedo1@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
nui.item.downloads | 293 | |