We are the Soda (Social Data and AI) Lab at the School of Computing and Information Systems, Singapore Management University. We study social phenomena through large-scale data and computational tools, aiming to tackle big societal problems.
We focus particularly on . We use mobile devices any time to access the internet, read the news, watch videos, search for nearby restaurants, chat with friends, and leave posts on social networking sites. Those electronic footprints enable us to understand individual or collective human behavior: what people like or hate, how people feel about various topics, and how people behave and engage. Thus, it has become crucial to understand human behavior on these online platforms.
We develop new computational methods and tools for understanding, predicting, and changing human behavior on online platforms. One of the challenges posed by online data is the diversity and complexity of the datasets. We explore various types of large-scale data, investigate and compare existing tools to overcome its limitations and use them in the right way, and develop new measurements, machine learning models, and linguistic methods to understand human behaviors online and, furthermore, solve real-world problems.
However, our goal does not only solve real-world problems but those in online spaces. We are also interested in understanding obstacles to trusted public space online, developing methodologies to make them transparent, building frameworks to monitor them at large-scale in real-time, and transforming the public space online more credible.
We are located at Singapore Management University, School of Information Systems. Our university is in the heart of downtown Singapore.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
Our work 'Storm the Capitol: Linking offline political speech and online Twitter extra-representational participation on QAnon and the January 6 insurrection' is accepted in Frontiers in Sociology.18 April 2022
Our work 'Contours of Virtual Enfreakment in Fighting Game Characters' is accepted in Technological Forecasting & Social Change.4 April 2022
Our work 'Modeling Political Activism around Gun Debate via Social Media' is accepted in ACM Transactions on Social Computing.30 March 2022
Our work 'You Have Earned a Trophy: Characterize In-Game Achievements and Their Completions' is accepted in WebSci'22.23 March 2022
Our work 'Measuring 9 Emotions of News Posts from 8 News Organizations across 4 Social Media Platforms for 8 Months' is published in ACM Transactions on Social Computing.16 March 2022
Our work, 'Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus' and 'Understanding Toxicity Triggers on Reddit in the Context of Singapore', are accepted in ICWSM'227 Feb 2022
Our work 'What really matters?: characterising and predicting user engagement of news postings using multiple platforms, sentiments and topics' is published in Behaviour & Information Technology.12 October 2021
Haewoon serves as a Virtual Experience chair of ACM FAccT (Fairness, Accountability, and Transparency) 2022.24 September 2021
Our work 'Precision Public Health Campaign - Delivering Persuasive Messages to Relevant Segments Through Targeted Advertisements on Social Media' is published in JMIR Formative Research.