publication . Article . Other literature type . 2017

A comparative study of automated approaches

Symeon Papadopoulos;
Open Access English
  • Published: 15 Sep 2017
Abstract
An increasing amount of posts on social media are used for disseminating news information and are accompanied by multimedia content. Such<br/>content may often be misleading or be digitally manipulated. More often than<br/>not, such pieces of content reach the front pages of major news outlets, having<br/>a detrimental effect on their credibility. To avoid such effects, there is profound<br/>need for automated methods that can help debunk and verify online content<br/>in very short time. To this end, we present a comparative study of three such<br/>methods that are catered for Twitter, a major social media platform used for<br/>news sharing. Those include: a) a ...
Subjects
free text keywords: Fake Detection, Verification, Credibility, Veracity, Trust, Social Media, Twitter, Multimedia, Multimedia systems, Information retrieval, Exploit, Multimedia information systems, Dissemination, Attribution, News sharing, computer.software_genre, computer, Computer communication networks, Computer science
Related Organizations
Funded by
EC| REVEAL
Project
REVEAL
REVEALing hidden concepts in Social Media
  • Funder: European Commission (EC)
  • Project Code: 610928
  • Funding stream: FP7 | SP1 | ICT
,
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
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publication . Article . Other literature type . 2017

A comparative study of automated approaches

Symeon Papadopoulos;