1 Curriculum Vitae PHEME PERKINS Theology Dept., Boston College, Chestnut Hill, MA 02467
PHEME Veracity: The 4 th Challenge of Big...
Transcript of PHEME Veracity: The 4 th Challenge of Big...
PHEME http://www.pheme.eu
PHEME Veracity: The 4th Challenge of Big Data
Tomás Pariente [email protected]
@tpariente
PHEME http://www.pheme.eu
Phemes & social media
• Memes are thematic motifs that spread through social media in ways analogous to genetic traits
• We coined the term phemes to add truthfulness and deception to the mix
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http://en.wikipedia.org/wiki/Pheme
PHEME focuses on a fourth crucial, but hitherto largely unstudied, challenge: Veracity
PHEME http://www.pheme.eu
Rumour analysis: The Problem
Now mostly manual
Rumours are challenging Some rumours could take hours, days, weeks or even months to die out
Ill-meaning humans can currently outsmart computers (and humans) and appear genuine
PHEME http://www.pheme.eu
Rumour analysis: The Problem
Mike Brown shot by police in Ferguson We have different rumors emerging from the topic
We don’t know if they are true.
We see the spikes and sometimes they come back (different temporal dynamics)
We need to understand the overall conversation to see the different points of view and how the rumours go forward
PHEME http://www.pheme.eu
From manual to automatic We are investigating... Ontologies for modelling phemes
Use a priori knowledge (LOD) and reasoning to detect contradictions
Model phemes spread across media, social networks, and time
Conversational analysis
Real-time rumour classification
Pheme visualisation to support veracity checking: media maps, impact maps, geographical maps…
PHEME http://www.pheme.eu
PatientsLikeMe
Cross-Media Content Linking,
Spatio-Temporal
Grounding
Multilingual LOD-Based
IE and Opinion Mining
Rumour Detection
And Veracity
Classification
USE CASES
Veracity Intelligence In Patient
Care
Digital Journalism
Linked Open Data Rumour Ontologies & Reasoning (GraphDB)
Historical Data
Archive
PHEME Visual
Analytics Dashboard
Social Context Models
Trust, Authority, Implicit
Networks
Technology Outcome: Open Source Computational Framework
...
…
PHEME VERACITY INTELLIGENCE FRAMEWORK
PHEME http://www.pheme.eu Some Meeting, Some Place, Some Date
Physical Infrastructure and Virtualization
Storage Infrastructure
Processing
Knowledge Base
Stream Processing Batch Processing
Mes
sagi
ng /
Com
ms
Mul
tilin
gual
Dat
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Data Collection
Rumour Classification Usage Curation
Data Value Chain
IT V
alue
Cha
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IT Big Data Layer
Veracity and Language Value Chain
System Workflow Orchestration
Mul
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gual
Dat
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ocia
l Med
ia
Mul
tilin
gual
Dat
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Data Data
SW
LT Processing & Analytics
Raw data Repository
Lang Detection
OntoText GraphDB™
Mul
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Dat
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ultil
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ata
End
Use
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Phe
me
Das
hboa
rd,
Jour
nalis
t Das
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Event Detection
NLP Processing
Annotation & Training
Cross-media linking
Cross-lingual analysis
Res
ourc
e M
anag
emen
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PHEME Big Data Architecture for veracity analysis
PHEME http://www.pheme.eu
Application areas
Open-source social intelligence tools for data journalism Involves journalists from SwissInfo.ch, the Guardian,
New York Times, and other media
Improving healthcare What health-related rumours are discussed in patient-
clinician consultations Preventative medical advice, e.g. warn patients not to
trust certain rumours, when researching their disease online
PHEME http://www.pheme.eu
Acknowledgement
The PHEME research project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 611233.
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This document does not represent the opinion of the European Community, and the European Community is not responsible for any use that might be made of its content
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