PHEME

Computing Veracity Across Media, Languages, and Social Networks

Coordinatore	THE UNIVERSITY OF SHEFFIELD    more  Organization address address: New Spring House, 231 Glossop Road city: Sheffield contact info Titolo: Ms. Nome: Joanne Cognome: Watson Email: send email Telefono: +44 114 222 4754 Fax: +44 114 222 1455
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	4˙269˙938 €
EC contributo	2˙916˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2013-10
Funding Scheme	CP
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-01-01   -   2016-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE UNIVERSITY OF SHEFFIELD  Organization address address: New Spring House, 231 Glossop Road city: Sheffield contact info Titolo: Ms. Nome: Joanne Cognome: Watson Email: send email Telefono: +44 114 222 4754 Fax: +44 114 222 1455	UK (Sheffield)	coordinator	0.00
2	ATOS SPAIN SA  Organization address address: Calle de Albarracin city: Madrid contact info Titolo: Mr. Nome: Tomás Cognome: Pariente Lobo Email: send email Telefono: +34 912148336 Fax: +34 917543252	ES (Madrid)	participant	0.00
3	I-HUB LIMITED  Organization address address: NGONG ROAD BISHOP MAGUA BUILDING 4TH FLOOR city: NAIROBI contact info Titolo: Mr. Nome: Limo Cognome: Taboi Email: send email Telefono: 14074270412	KE (NAIROBI)	participant	0.00
4	KING'S COLLEGE LONDON  Organization address address: Strand city: LONDON contact info Titolo: Mr. Nome: Paul Cognome: Labbett Email: send email Telefono: 442078000000 Fax: 442078000000	UK (LONDON)	participant	0.00
5	MODUL UNIVERSITY VIENNA GMBH  Organization address address: AM KAHLENBERG city: WIEN contact info Titolo: Mr. Nome: Christian Cognome: Hoffmann Email: send email Telefono: +43 1 3203555 100 Fax: +43 1 3203555 902	AT (WIEN)	participant	0.00
6	ONTOTEXT AD  Organization address address: Tsarigradsko Shosse city: Sofia contact info Titolo: Mrs. Nome: Silvia Cognome: Simova Email: send email Telefono: +359 2974 6160 Fax: +359 297 53226	BG (Sofia)	participant	0.00
7	SCHWEIZERISCHE RADIO-UND FERNSEHGESELLSCHAFT ASSOCIATION  Organization address address: GIACOMETTISTRASSE city: BERN contact info Titolo: Mr. Nome: Peter Cognome: Zschaler Email: send email Telefono: +41 31 350 97 76 Fax: +41 31 350 96 14	CH (BERN)	participant	0.00
8	THE UNIVERSITY OF WARWICK  Organization address address: Kirby Corner Road - University House city: COVENTRY contact info Titolo: Dr. Nome: Peter Cognome: Hedges Email: send email Telefono: +44 24765 23859	UK (COVENTRY)	participant	0.00
9	UNIVERSITAET DES SAARLANDES  Organization address address: Campus city: SAARBRUECKEN contact info Titolo: Ms. Nome: Corinna Cognome: Hahn Email: send email Telefono: +49 681 95923362	DE (SAARBRUECKEN)	participant	0.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

Social media poses three major computational challenges, dubbed by Gartner the 3Vs of big data: volume, velocity, and variety. Content analytics methods have faced additional difficulties, arising from the short, noisy, and strongly contextualised nature of social media. In order to address the 3Vs of social media, new language technologies have emerged, e.g. using locality sensitive hashing to detect breaking news stories from media streams (volume), predicting stock market movements from microblog sentiment (velocity), and recommending blogs and news articles based on user content (variety).

PHEME will focus on a fourth crucial, but hitherto largely unstudied, challenge: veracity. It will model, identify, and verify phemes (internet memes with added truthfulness or deception), as they spread across media, languages, and social networks.

PHEME will achieve this by developing novel cross-disciplinary social semantic methods, combining document semantics, a priori large-scale world knowledge (e.g. Linked Open Data) and a posteriori knowledge and context from social networks, cross-media links and spatio-temporal metadata. Key novel contributions are dealing with multiple truths, reasoning about rumour and the temporal validity of facts, and building longitudinal models of users, influence, and trust.

Results will be validated in two high-profile case studies: healthcare and digital journalism. The techniques will be generic with many business applications, e.g. brand and reputation management, customer relationship management, semantic search and knowledge management. In addition to its high commercial relevance, PHEME will also benefit society and citizens by enabling government organisations to keep track of and react to rumours spreading online.

PHEME addresses Objective ICT-2013.4.1 Content analytics and language technologies; a) cross-media analytics.