Presentation about the PHEME project on cross-media, cross-lingual rumour detection and tracking

1. PHEME http://www.pheme.eu
PHEME
Veracity: The 4th Challenge of Big Data
Tomás Pariente
tomas.parientelobo@atos.net
@tpariente

2. 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

3. 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

4. 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

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Social Media is Rife with Phemes

6. PHEME http://www.pheme.eu
Social Media is Rife with Phemes

7. 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…

8. 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

9. PHEME http://www.pheme.euSome Meeting, Some Place, Some Date
Physical Infrastructure and Virtualization
Storage Infrastructure
Processing
Knowledge
Base
Stream ProcessingBatch Processing
Messaging/Comms
MultilingualData
Data
Collection
Rumour
Classification
UsageCuration
Data Value Chain
ITValueChain
IT Big Data Layer
Veracity and Language Value Chain
System Workflow Orchestration
MultilingualDataSocialMedia
MultilingualData
Data
Data
SW
LT Processing
& Analytics
Raw data
Repository
Lang
Detection
OntoText GraphDB™
MultilingualData
MultilingualData
EndUsers
PhemeDashboard,
JournalistDashboard
Event
Detection
NLP
Processing
Annotation &
Training
Cross-media
linking
Cross-lingual
analysis
ResourceManagement
PHEME Big Data Architecture
for veracity analysis

10. 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

11. PHEME http://www.pheme.eu
PHEME Dashboard
And dynamics Over Time/Location
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vs replies

12. PHEME http://www.pheme.eu
Journalism Dashboard Prototype
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13. 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
Thanks!