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INFORMATION WARFARE ON THE WEB IN THE MIDDLE EAST
Source: Vice
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1 BRINGING WEB SCIENCE TO THE MIDDLE EAST
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Interdisciplinary Research Unit In Web Science
Created in 2002 at Beirut’s Saint-Joseph University Faculty of Humanities
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Interdisciplinary Research Unit In Web Science
Digital Transformation of Middle Eastern Societies New paradigms – Arab Spring – Conflicts – ISIS
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The Call For a Science of the Web
Interdisciplinarity (The 2 magics) Mixed methods (Data + Social) New tools to understand the impact of the Web on Society From power laws to people (Social Machines)
Berners-Lee
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The Manifesto For Web Science
Web Science 2010 – Raleigh, NC. Susan Halford, Cathy Pope, Leslie Carr
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The Manifesto For Web Science
Understanding the web requires knowledge and expertise from the social and human sciences
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The Manifesto For Web Science
Computer science is only one vantage point
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The Manifesto For Web Science
Co-constitution of technology and society
The Web impacts society and society impacts the Web
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The Manifesto For Web Science
Heterogeneous actors (ANT – Latour) Radical symmetry between humans and non-humans. “the bureaucrat in the standards agency is just as important as the servers at Google or HTTP”.
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The Manifesto For Web Science
Social and cultural construction of technology (SCOT)
Ignoring particular functionalities, or developing alternative uses, and produce outcomes that may differ significantly from the original intentions for a given innovation.
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Consequences For Web Science
Web Science must be the genuine intersection of discipline It cannot be allowed to be a sociology
- r a computer science of the web
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Consequences For Web Science
Web Science must look both ways to see how the web is made by humans and how humans are made by the web.
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Consequences For Web Science
Web Science must follow all the actors and trace the networks implicated in the web in the broadest sense and understand the effects of these networks.
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Consequences For Web Science
Web Science must be a critical discipline. It must develop theoretical thinking and push towards critical, political social theory, to challenge the web and society.
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Consequences For Web Science
Web Science must move beyond narrow epistemologies and methodologies to enable a science which can examine and explain both micro and macro phenomena.
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Web Science In the Arab Near East Context
Against Prescriptive Language (Lawrence of E-Rabia – Burris 2000) Contextualization against New Orientalism (Anderson 2003) Myopia of Networks (Etling 2009)
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2 INFORMATION WARFARE ON THE WEB
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Information Warfare
A very large concept as old as war! Propaganda – Disinformation – Demoralization Manipulation – Deception – Denial of information PsyOps
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Information Warfare On the Web
The Internet is a new battlefield Information Warfare is part of Cyberwarfare
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Information Warfare On the Web
The Web is the Internet’s Information System Multiplier effect? Web as a collateral asset?
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Information Warfare On the Web
Difference between attacks that target the Internet infrastructure and Information Warfare tactics and tools
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Is Information Warfare always asymmetric? Where does it take place? What about the BTKP rule? Weapons of mass annoyance?
Researching Information Warfare On the Web
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Researching Information Warfare On the Web
1 – Objectives / Strategies? 2 – Types of attacks / Contents / Targets / Actions? 3 – Actors (Groups, Armies, Businesses, Individuals)
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Researching Information Warfare On the Web
Observation – Identification – Measure Measuring Digital Wars: Learning from the experience of peace research and arms control. Giacomello (2003).
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Researching Information Warfare On the Web
Observation
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– Official Places, reference sources, players, historical background, virtual borders, strategic assets, obvious targets, etc.
– Specialized websites and forums – Official declarations and claims – Incidents / Media Reports – Influencers, gatekeepers, communities
1 - Observation
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– Identifying traces
- Qualitative (Reference of action. Ex: Hashtag)
– Permanent tracking
- Quantitative (Distortions in usage)
– Regular data extraction and analysis
– Availability of technology by attacker – Damage done (Observed or reported)
2 - Identification
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- Storage / Coding / Analysis
– Descriptors – Attacker / Target – Type of attack – Type of content – Damage – Strategic objectives – Regrouping
3 - Evaluation
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3 CONTEXTS
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Context 1 2006 War Lebanon
30 days of asymmetric warfare between the State of Israel and the Lebanese Islamic Resistance
(Best Poster – ACM Web Science 2011 - Koblenz)
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Context 1 2006 War Lebanon
Megaphone software (Giyus.org) Web Pages defacement (Al Manar TV) PsyOps / Deceptive contents (Satellite photos) Denunciation Websites (All4Lebanon)
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Context 1 2006 War Lebanon
No official strategy - Innovation Individual initiatives – Hackers Units Limited impact - Symbolism
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Context 2 2011 Civil War in Syria
Information warfare in Syria The Web between Liberation and Repression
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Context 2 2011 Civil War in Syria
Repression strategy follows uprising in Egypt and Tunisia First official Electronic Army (SEA) – 122 defacement attacks Fake accounts on social media (Honey pots) – 1200 arrests
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Context 3 2012 The Gaza War
Information Warfare on the Web as an official military strategy
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Context 3 2012 The Gaza War
Emerging actors (Al-Qassam Cyber Fighters - Anonymous) Official strategy to win the IWW (Legitimization - Hasbara) Citizen Journalism
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Context 3 2014 ISIS
Global Information Operations Strategy by a terrorist organization
(Best Poster – ACM Web Science 2015 - Oxford)
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Context 3 2014 ISIS
Building audience and support (Al Hayat Media Center) Framing politico-military actions (Live tweeting) Marketing the Caliphate (Differentiation)
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Context 3 2014 ISIS
Building audience and support (Al Hayat Media Center) Framing politico-military actions (Live tweeting) Marketing the Caliphate (Differentiation)
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At last, Some numbers!
4 contexts studied in 6 years Around 2500 attacks (6 groups) 67 different sources
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1 - Volumes
Propaganda 11% Disinformation 18% Demoralization 5% Manipulation 8% Deception 49% Denial of information 9%
Lebanon War
Propaganda 21% Disinformation 8% Demoralization 10% Manipulation 36% Deception 21% Denial of information 4%
Syria
Propaganda 18% Disinformation 26% Demoralization 5% Manipulation 15% Deception 21% Denial of information 15%
Gaza
Propaganda 44% Disinformation 13% Demoralization 8% Manipulation 14% Deception 17% Denial of information 4%
Isis
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1 – Example of sources: Hackmageddon
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1 – Example of sources: Opennet.org (SEA)
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- Very complex research
- Exploratory
- Understanding the context is essential
– Few sources – References are difficult to evaluate – Hard to get first hand information
- On actions and intentions
- On actors
- Need to create new tools for observation
2 – We just scratched the surface!
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- Webscience.blogs.usj.edu.lb
- Stefan.bazan@gmail.com
Thank you