Dr. Haewoon Kwak

Senior Scientist
Social Computing
"QCRI is a young, innovative research lab. I meet great colleagues here."

Research Focus at QCRI

Dr. Haewoon Kwak is a senior scientist at Qatar Computing Research Institute, HBKU with a background in computer science, and has studied online social networks for many years. He is a chair of social networks and graphs analysis track in WWW 2016. He is a lead author of “What is Twitter, a social network or news media?” (WWW 2010), which has been cited more than 4,500 times. Similarly to his Twitter paper, he is always exploring new areas, such as his work on YouTube and other online social networks. At QCRI, Haewoon focuses on computational journalism, with special emphasis on the bias of news media. 

His interests include new media, online games, computational social science and deep learning.

Previous Experience

April 2014 – present
Social Computing; Qatar Computing Research Institute (QCRI), HBKU

June 2012 – April 2014
Telefonica Research, Barcelona, Spain

September 2007 – December 2007
Telefonica Research, Barcelona, Spain

August 2011 – October 2011
Research Assistant
KAIST, Daejeon, Korea

January 2003 – April 2005
Software Developer (Military service)
Initech, Korea

Professional Experience

Professional Associations and Awards

  •  Chair of online social networks and graph analysis track at World Wide Web 2016 conference


  • Ph.D. Computer Science, KAIST (South Korea) August 2011
  • M.S. Computer Science, KAIST (South Korea) August 2007
  • B.S. Computer Science, KAIST (South Korea) February 2006

Selected Research

Ah Reum Kang, Jeremy Blackburn, Haewoon Kwak, and Huy Kang Kim
I Would Not Plant Apple Trees If the World Will Be Wiped, 2017

Analyzing Hundreds of Millions of Behavioral Records of Players During an MMORPG Beta Test
The 26th International World Wide Web (WWW) Conference Alternative track, 2017

Kunwoo Park, Meeyoung Cha, Haewoon Kwak, and Kuan-Ta Chen; Achievement and Friends
Key Factors of Player Retention Vary Across Player Levels in Online Multiplayer Games; The 26th International World Wide Web (WWW) Conference Alternative track, 2017

H. Kwak, J. Blackburn, and S. Han; Exploring Cyberbullying and Other Toxic Behavior in Team Competition Online Games
In the 33rd annual ACM Conference on Human Factors in Computing Systems (ACM CHI), 2015

J. Blackburn, and H. Kwak
STFU NOOB!: Predicting Crowdsourced Decisions On Toxic Behavior In Online Games; In the 23rd International Conference On World Wide Web (WWW), 2014
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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure


Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps


Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data


Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Upcoming Events


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“The Future of Higher Education in the Age of Technological Disruption” by CMU President Dr. Farnam Jahanian

Download ICS File 24/03/2019 ,

Dr. Farnam Jahanian, the President of Carnegie Mellon University, will deliver a public lecture, “The Future of Higher Education in the Age of Technological Disruption” at CMU’s Qatar campus on Sunday, March 24.

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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News Releases


QCRI and iMMAP announce Memorandum of Understanding


Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good


Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk


Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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