Computing Veracity across Media, Languages, and Social Networks

Project: Research

Project Details

Description

Analyzing big data repositories aggregated from context-dependent social media streams poses three major computational challenges: volume, velocity, and variety. This project will focus on a fourth, hitherto largely unstudied computational challenge: veracity. It will model, identify, and verify phemes (Internet memes with added information on truthfulness or deception) as they spread across media, languages, and social networks.
AcronymPHEME
StatusFinished
Effective start/end date01/10/2013 → 31/03/2017

Collaborative partners

  • University of Sheffield (Project partner) (lead)
  • Universität des Saarlandes (Project partner)
  • Ontotext (Project partner)
  • King's College London (Project partner)
  • iHub Ltd. (Project partner)
  • Swissinfo.ch (Project partner)
  • University of Warwick (Project partner)
  • Atos IT Solutions and Services GmbH (Project partner)

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