Dr. Haewoon Kwak holds the position of Associate Professor at the Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington. He co-directs the Soda Lab research group alongside Prof. An, with a primary objective of investigating social phenomena through the use of large-scale data and computational tools. Their research aims to address significant societal challenges.

Dr. Kwak's research activities focus on the intersection of network science, machine learning, and computational social science across various domains, including news media, online games, social media, sports, politics, among others. One of his major contributions to the field of social media research is as the lead author of the highly cited paper titled "What is Twitter, a social network, or news media?" (WWW 2010), which has received over 9,500 citations. His work has been highlighted by various reputable media outlets such as Nature News, ACM Tech News, BBC, The Times, The Economist, Slate, and Scientific American, among others. Additionally, he has served as a member of the program committee or senior program committee for several significant computer science and computational social science conferences.

Online social networks and social media

How are they changing people's lives?

Structures and dynamics of every system, from an online social networking service to a football team, interact with each other. Retweets in Twitter go along with follow relationship and those lead to an act of following to the original author. Similarly, positions of football players and passes between them are strongly related. Network science is an interdisciplinary research field to examine underlying structures, dynamics therein, and relationship between two.

Game analytics

A miniature of the real world

Online game players interact with each other in various ways, as they do in the real world. More importantly, in-game actions could be easily quantified and logged in detail. The huge volume of behavioral data collected in online games help researchers study human nature in an unprecedented scale.

Computational journalism

Is the world flat? -- We are finding answers from global news media

We are strongly relying on domestic news media to obtain information on foreign countries even in the era of social media. Which countries are more frequently reported than others? Which countries are more positively reported than others? Such patterns unconsciously shape our worldview. With large-scale databases from online news sites, what events are chosen and how they are reported can be quantitatively measured.


Up-to-date publication list is available on Google Scholar.

Conference/Journal Papers

computational journalism social media analytics network science HCI game analytics deep learning computational social science recommendation system


Ph.d. Thesis

Book Chapters


  • Systems and method for extracting users of similar interests between various types of web servers

    Suebok Moon, Haewoon Kwak, Hwayong Shin, and Jongil Yoon
    (US 8,423,542 B2, April 2013)
  • 다종 웹 서버 간 유사 사용자 추출 시스템 및 그 방법

    문수복, 곽해운, 신화용, 윤종일 (공개 번호: 10, 2010, 0106831)


@IU and Singapore Management University


E-mail is the best option to contact me.




Luddy School of Informatics, Computing, and Engineering
Bloomington, IN 47408, USA