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.
Acronym | PHEME |
---|---|
Status | Finished |
Effective start/end date | 01/10/2013 → 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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