SlideShare a Scribd company logo
AGGREGATING &
ANALYZING THE CONTEXT
OF SOCIAL MEDIA CONTENT
Symeon (Akis) Papadopoulos
Senior Research Scientist @ CERTH
Workshop on Content Verification Tools
June 6, 2018 @ Thessaloniki, Greece
Aggregating and Analyzing the Context of Social Media Content
Rumours and their spread
Example rumour cascade
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online.
Science, 359(6380), 1146-1151.
Volume of cascades per year
Topic frequency of cascades
Falsehood diffused significantly farther,
faster, deeper, and more broadly than
the truth in all categories of information!
Aggregating and Analyzing the Context of Social Media Content
Verification of social media content
News organisations / professionals
Verification processes
Social media streams
Verification tools
Credibility Signals
Signals Framework, by Aviv Ovadya @ Center for Social Media Responsibility
https://docs.google.com/presentation/d/1pgy43Qbo2yOR13Z7N_1yuuTnR0O4390zSyj2PCHKX4g/
Context Analysis & Aggregation Service
Data inference
and aggregation
Input Video
Metadata
from source
User Interface
Context Analysis and Aggregation Toolkit
• Back-end service implementation
• Orchestrate data collection from third party services
• Perform data aggregation and indexing
• Perform inferences
• REST API
• http://caa.iti.gr:8080/swagger/?url=http://caa.iti.gr:808
0/Context_Aggregation_and_Analysis_v8.json
• Web-based user interface
• http://caa.iti.gr/
• InVID Plug-in tab
• To be demonstrated in hands-on session
Overview of features
• Video metadata from platform of interest
• Video publisher metadata (e.g. YouTube channel,
Twitter account, Facebook page)
• Comments & verification comments
• Instant generation of video thumbnails and
shortcuts for reverse image search
• Weather at the claimed time and place of video
• Twitter sharing timeline
• Includes credibility-oriented classification of tweets
In InVID Plugin
Context Analysis in InVID Plugin
Web-based User Interface
Linked tool: Tweet Verification Assistant
http://tiny.cc/tw_verify
The Fake Video Corpus
• 200 fake and 188 real newsworthy videos
• 2206 fake and 1209 real near-duplicates
• YouTube search & visual similarity filtering
• 388 cascades of near-duplicate videos
Temporal profiles of video cascades
• Fake videos keep
reappearing years
later
• Real videos tend
to be reproduced
mostly during the
first month
Automatic Contextual Verification
• Different classification approaches
• Comment cred: Use Tweet Verification Assistant and aggregate
comment cred scores into a histogram that is used as feature vector
• Video metadata: Train SVM classifier using text-based metadata
from video description and channel statistics
• Fusion: concatenate comment cred and video metadata vectors
• Training on Fake Video Corpus
• Challenge: Generalize on future cases
F1-Score
Comment cred 0.64
Video metadata 0.77
Fusion 0.78
Ideal fusion 0.96
Ideal fusion is a
hypothetical optimal way
to combine comment cred
and video metadata.
Summary
• Media-based disinformation is complex!
• Misleading content tends to be shared more!
• There are several technologies available for tackling
the problem, each with its limitations
• End users (journalists) should be the beginning and
the end of the verification process!
• Technology on its own is not sufficient: we need to
take into account the human and social facets of
the problem: media literacy!
Thank you for your attention!
https://revealproject.eu/
http://www.invid-project.eu/
Get in touch!
Symeon Papadopoulos papadop@iti.gr / @sympap
Olga Papadopoulou olgapapa@iti.gr / @olgapapa
Ex. 1: Unbelievable Explosion Moment In Brussel Airport
https://www.youtube.com/watch?v=mZes8-tzZ0w
Ex.2: Video claiming to depict a Hezbollah sniper
https://www.youtube.com/watch?v=nkQ-ij3LTTM
Ex. 3: Huge Pod of Mermaids Caught on Tape by DRONE
https://www.youtube.com/watch?v=c7GJPhwSFHQ
Ex. 4: Snowboarder Girl Chased By Bear
https://www.youtube.com/watch?v=vT_PNKg3v7s
Ex. 5: Syrian hero boy rescue girl in shootout
https://www.youtube.com/watch?v=UTeqpMQKZaY
Ex. 6: Unbelievable Explosion Moment In Brussel Airport
https://www.youtube.com/watch?v=mSFf2mzCrTg
Ex. 7: Pope Francis SLAPS Donald Trump's Hand….
https://www.youtube.com/watch?v=Q8AQler0Dq0
Ex. 8: Lion takes revenge on trophy hunter
https://www.facebook.com/uniladmag/videos/2293398324016547/
Ex. 9: Terry Tufferson channel
https://www.youtube.com/channel/UCHH9FQBvo3X4Vmf78c0OASw/videos

More Related Content

PDF
Presentation of the InVID project and verification technologies
PDF
Overview of the InVID project
PDF
InVID at the IPTC Autumn Meeting 2016
PDF
InVID Project Presentation 3rd release March 2016
PPTX
Video Retrieval for Multimedia Verification of Breaking News on Social Networks
PDF
Presentation of the InVID tool for video fragmentation and keyframe-based rev...
PDF
Second issue of the InVID newsletter
PDF
Presentation of the InVID tool for social media verification
Presentation of the InVID project and verification technologies
Overview of the InVID project
InVID at the IPTC Autumn Meeting 2016
InVID Project Presentation 3rd release March 2016
Video Retrieval for Multimedia Verification of Breaking News on Social Networks
Presentation of the InVID tool for video fragmentation and keyframe-based rev...
Second issue of the InVID newsletter
Presentation of the InVID tool for social media verification

What's hot (7)

PDF
InVID project presentation at SMVW16
PDF
Presentation of the InVID verification technologies at IPTC 2018
PDF
A state of the art in journalism about fake image and video detection
PDF
InVID platform presentation at SMVW16
PPTX
Context Aggregation and Analysis: A tool for User-Generated Video Verification
PDF
EDMO workshop 17 Feb 2021
PPTX
MeVer tools for disinformation detection
InVID project presentation at SMVW16
Presentation of the InVID verification technologies at IPTC 2018
A state of the art in journalism about fake image and video detection
InVID platform presentation at SMVW16
Context Aggregation and Analysis: A tool for User-Generated Video Verification
EDMO workshop 17 Feb 2021
MeVer tools for disinformation detection
Ad

Similar to Aggregating and Analyzing the Context of Social Media Content (20)

PPTX
Social media mining for sensing and responding to real-world trends and events
PDF
Disinformation challenges tools and techniques to deal or live with it
PDF
Misinformation on the internet: Video and AI
PPTX
From Research to Applications: What Can We Extract with Social Media Sensing?
PDF
Context Aggregation and Analysis: A Tool for User- Generated Video Verificati...
PDF
Researching Misinformation
PPTX
chaitra-1.pptx fake news detection using machine learning
PDF
Visual Information Analysis for Crisis and Natural Disasters Management and R...
PDF
Techhub Riga misinformation meet-up, 15 March 2018
PPTX
Verifying Multimedia Use at MediaEval 2015
PDF
MediaEval 2015 - Verifying Multimedia Use at MediaEval 2015
PPTX
Verifying Multimedia Use at MediaEval 2015
PDF
International life Sciences
PDF
Context Aggregation and Analysis: A tool for User-Generated Video Verification
PPTX
Fake-News-Detection-Systems-An-Overview.pptx
PPTX
Fake_News_Detection_1st_review[1] capstone project.pptx
PDF
Combating Fake News: Combating Fake News: A Data Management and Mining Perspe...
PDF
TTO Keynote 08 10 2021
PDF
Discovering Credible Events in Near Real Time from Social Media Streams
PDF
The InVID Plug-in: Web Video Verification on the Browser
Social media mining for sensing and responding to real-world trends and events
Disinformation challenges tools and techniques to deal or live with it
Misinformation on the internet: Video and AI
From Research to Applications: What Can We Extract with Social Media Sensing?
Context Aggregation and Analysis: A Tool for User- Generated Video Verificati...
Researching Misinformation
chaitra-1.pptx fake news detection using machine learning
Visual Information Analysis for Crisis and Natural Disasters Management and R...
Techhub Riga misinformation meet-up, 15 March 2018
Verifying Multimedia Use at MediaEval 2015
MediaEval 2015 - Verifying Multimedia Use at MediaEval 2015
Verifying Multimedia Use at MediaEval 2015
International life Sciences
Context Aggregation and Analysis: A tool for User-Generated Video Verification
Fake-News-Detection-Systems-An-Overview.pptx
Fake_News_Detection_1st_review[1] capstone project.pptx
Combating Fake News: Combating Fake News: A Data Management and Mining Perspe...
TTO Keynote 08 10 2021
Discovering Credible Events in Near Real Time from Social Media Streams
The InVID Plug-in: Web Video Verification on the Browser
Ad

More from Symeon Papadopoulos (20)

PDF
DeepFake Detection: Challenges, Progress and Hands-on Demonstration of Techno...
PDF
Deepfakes: An Emerging Internet Threat and their Detection
PDF
Knowledge-based Fusion for Image Tampering Localization
PDF
Deepfake Detection: The Importance of Training Data Preprocessing and Practic...
PPTX
COVID-19 Infodemic vs Contact Tracing
PDF
Similarity-based retrieval of multimedia content
PPTX
Twitter-based Sensing of City-level Air Quality
PDF
Verifying Multimedia Content on the Internet
PPTX
A Web-based Service for Image Tampering Detection
PPTX
Learning to detect Misleading Content on Twitter
PPTX
Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers
PPTX
Verifying Multimedia Use at MediaEval 2016
PPTX
Multimedia Privacy
PPTX
Placing Images with Refined Language Models and Similarity Search with PCA-re...
PPTX
In-depth Exploration of Geotagging Performance
PPTX
Perceived versus Actual Predictability of Personal Information in Social Netw...
PPTX
Web and Social Media Image Forensics for News Professionals
PPTX
Predicting News Popularity by Mining Online Discussions
PPTX
Finding Diverse Social Images at MediaEval 2015
PPTX
CERTH/CEA LIST at MediaEval Placing Task 2015
DeepFake Detection: Challenges, Progress and Hands-on Demonstration of Techno...
Deepfakes: An Emerging Internet Threat and their Detection
Knowledge-based Fusion for Image Tampering Localization
Deepfake Detection: The Importance of Training Data Preprocessing and Practic...
COVID-19 Infodemic vs Contact Tracing
Similarity-based retrieval of multimedia content
Twitter-based Sensing of City-level Air Quality
Verifying Multimedia Content on the Internet
A Web-based Service for Image Tampering Detection
Learning to detect Misleading Content on Twitter
Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers
Verifying Multimedia Use at MediaEval 2016
Multimedia Privacy
Placing Images with Refined Language Models and Similarity Search with PCA-re...
In-depth Exploration of Geotagging Performance
Perceived versus Actual Predictability of Personal Information in Social Netw...
Web and Social Media Image Forensics for News Professionals
Predicting News Popularity by Mining Online Discussions
Finding Diverse Social Images at MediaEval 2015
CERTH/CEA LIST at MediaEval Placing Task 2015

Recently uploaded (20)

PPTX
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
PPT
Teaching material agriculture food technology
PDF
Reach Out and Touch Someone: Haptics and Empathic Computing
PDF
NewMind AI Weekly Chronicles - August'25 Week I
PDF
Per capita expenditure prediction using model stacking based on satellite ima...
PDF
NewMind AI Monthly Chronicles - July 2025
PDF
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
PDF
cuic standard and advanced reporting.pdf
PDF
Shreyas Phanse Resume: Experienced Backend Engineer | Java • Spring Boot • Ka...
PDF
CIFDAQ's Market Insight: SEC Turns Pro Crypto
PDF
Review of recent advances in non-invasive hemoglobin estimation
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PDF
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
PPTX
Cloud computing and distributed systems.
PDF
Encapsulation theory and applications.pdf
PDF
Architecting across the Boundaries of two Complex Domains - Healthcare & Tech...
PPTX
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
PDF
Empathic Computing: Creating Shared Understanding
PDF
Spectral efficient network and resource selection model in 5G networks
PDF
Machine learning based COVID-19 study performance prediction
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
Teaching material agriculture food technology
Reach Out and Touch Someone: Haptics and Empathic Computing
NewMind AI Weekly Chronicles - August'25 Week I
Per capita expenditure prediction using model stacking based on satellite ima...
NewMind AI Monthly Chronicles - July 2025
7 ChatGPT Prompts to Help You Define Your Ideal Customer Profile.pdf
cuic standard and advanced reporting.pdf
Shreyas Phanse Resume: Experienced Backend Engineer | Java • Spring Boot • Ka...
CIFDAQ's Market Insight: SEC Turns Pro Crypto
Review of recent advances in non-invasive hemoglobin estimation
20250228 LYD VKU AI Blended-Learning.pptx
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
Cloud computing and distributed systems.
Encapsulation theory and applications.pdf
Architecting across the Boundaries of two Complex Domains - Healthcare & Tech...
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
Empathic Computing: Creating Shared Understanding
Spectral efficient network and resource selection model in 5G networks
Machine learning based COVID-19 study performance prediction

Aggregating and Analyzing the Context of Social Media Content

  • 1. AGGREGATING & ANALYZING THE CONTEXT OF SOCIAL MEDIA CONTENT Symeon (Akis) Papadopoulos Senior Research Scientist @ CERTH Workshop on Content Verification Tools June 6, 2018 @ Thessaloniki, Greece
  • 3. Rumours and their spread Example rumour cascade Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151. Volume of cascades per year Topic frequency of cascades Falsehood diffused significantly farther, faster, deeper, and more broadly than the truth in all categories of information!
  • 5. Verification of social media content News organisations / professionals Verification processes Social media streams Verification tools
  • 6. Credibility Signals Signals Framework, by Aviv Ovadya @ Center for Social Media Responsibility https://docs.google.com/presentation/d/1pgy43Qbo2yOR13Z7N_1yuuTnR0O4390zSyj2PCHKX4g/
  • 7. Context Analysis & Aggregation Service Data inference and aggregation Input Video Metadata from source User Interface
  • 8. Context Analysis and Aggregation Toolkit • Back-end service implementation • Orchestrate data collection from third party services • Perform data aggregation and indexing • Perform inferences • REST API • http://caa.iti.gr:8080/swagger/?url=http://caa.iti.gr:808 0/Context_Aggregation_and_Analysis_v8.json • Web-based user interface • http://caa.iti.gr/ • InVID Plug-in tab • To be demonstrated in hands-on session
  • 9. Overview of features • Video metadata from platform of interest • Video publisher metadata (e.g. YouTube channel, Twitter account, Facebook page) • Comments & verification comments • Instant generation of video thumbnails and shortcuts for reverse image search • Weather at the claimed time and place of video • Twitter sharing timeline • Includes credibility-oriented classification of tweets In InVID Plugin
  • 10. Context Analysis in InVID Plugin
  • 12. Linked tool: Tweet Verification Assistant http://tiny.cc/tw_verify
  • 13. The Fake Video Corpus • 200 fake and 188 real newsworthy videos • 2206 fake and 1209 real near-duplicates • YouTube search & visual similarity filtering • 388 cascades of near-duplicate videos
  • 14. Temporal profiles of video cascades • Fake videos keep reappearing years later • Real videos tend to be reproduced mostly during the first month
  • 15. Automatic Contextual Verification • Different classification approaches • Comment cred: Use Tweet Verification Assistant and aggregate comment cred scores into a histogram that is used as feature vector • Video metadata: Train SVM classifier using text-based metadata from video description and channel statistics • Fusion: concatenate comment cred and video metadata vectors • Training on Fake Video Corpus • Challenge: Generalize on future cases F1-Score Comment cred 0.64 Video metadata 0.77 Fusion 0.78 Ideal fusion 0.96 Ideal fusion is a hypothetical optimal way to combine comment cred and video metadata.
  • 16. Summary • Media-based disinformation is complex! • Misleading content tends to be shared more! • There are several technologies available for tackling the problem, each with its limitations • End users (journalists) should be the beginning and the end of the verification process! • Technology on its own is not sufficient: we need to take into account the human and social facets of the problem: media literacy!
  • 17. Thank you for your attention! https://revealproject.eu/ http://www.invid-project.eu/ Get in touch! Symeon Papadopoulos papadop@iti.gr / @sympap Olga Papadopoulou olgapapa@iti.gr / @olgapapa
  • 18. Ex. 1: Unbelievable Explosion Moment In Brussel Airport https://www.youtube.com/watch?v=mZes8-tzZ0w
  • 19. Ex.2: Video claiming to depict a Hezbollah sniper https://www.youtube.com/watch?v=nkQ-ij3LTTM
  • 20. Ex. 3: Huge Pod of Mermaids Caught on Tape by DRONE https://www.youtube.com/watch?v=c7GJPhwSFHQ
  • 21. Ex. 4: Snowboarder Girl Chased By Bear https://www.youtube.com/watch?v=vT_PNKg3v7s
  • 22. Ex. 5: Syrian hero boy rescue girl in shootout https://www.youtube.com/watch?v=UTeqpMQKZaY
  • 23. Ex. 6: Unbelievable Explosion Moment In Brussel Airport https://www.youtube.com/watch?v=mSFf2mzCrTg
  • 24. Ex. 7: Pope Francis SLAPS Donald Trump's Hand…. https://www.youtube.com/watch?v=Q8AQler0Dq0
  • 25. Ex. 8: Lion takes revenge on trophy hunter https://www.facebook.com/uniladmag/videos/2293398324016547/
  • 26. Ex. 9: Terry Tufferson channel https://www.youtube.com/channel/UCHH9FQBvo3X4Vmf78c0OASw/videos

Editor's Notes

  • #5: https://twitter.com/Thomas_Binder/status/984934979451879424 https://twitter.com/Thomas_Binder/status/985665154695262211 https://www.dailysabah.com/syrian-crisis/2018/04/18/cardiologist-apologizes-after-falsely-accusing-white-helmets-of-staging-syria-chemical-attack
  • #17: Many different types of fake Web image forensics Tweet verification assistant and a very challenging issue in the coming years
  • #19: http://truepublica.org.uk/global/video-used-mainstream-media-reports-brussels-terror-attacks-emerge-fakes/
  • #21: Magnifier
  • #22: Magnifier
  • #23: Magnifier
  • #24: http://truepublica.org.uk/global/video-used-mainstream-media-reports-brussels-terror-attacks-emerge-fakes/
  • #25: Magnifier
  • #27: Magnifier