15th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation
September 20-22, 2022, Hybrid.
Carnegie Mellon University, Mellon Institute – Mellon College of Science
4400 Fifth Ave, 4th floor, Pittsburgh, PA 15213.

A link to view the online copy of the proceedings published by Springer may be found here. It is available for four weeks starting September 20, 2022. This link is now live; download your copy today!

• Evolution of Intent and Social Influence Networks and their Significance in Detecting COVID-19 Disinformation Actors on Social Media
• Chathika Gunaratne, Debraj De, Gautam Thakur, Chathurani Senevirathna, William Rand, Martin Smyth and Monica Lipscomb

• Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data
• Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li and Huan Liu

• Evacuation in the Presence of Bad Actors
• Clark Petri and Hamdi Kavak

• Analyzing Political Party Manifestos with Natural Language Processing
• Salomon Orellana and Halil Bisgin

• Causal Data Fusion for Multi-modal Disaster Classification in Social Media
• Raha Moraffah, Suraj Jyothi Unni, Adrienne Raglin and Huan Liu

• Graph Classification of Evolutionary Dynamic Networks
• Joseph Johnson and Christophe Giraud-Carrier

• Detecting Radicalization on YouTube using Computational Models
• Efrat Ravid, Kobi Gal, Avi Segal and Sophia Solomon

• Estimating Topic Exposure for Under-Represented Users on Social Media
• Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth and Huan Liu

• Agent-Based Modeling of a Crowd Attacked with the Chemical Weapon Sarin
• Kai Koblentz and William G. Kennedy

• Modeling Priorities in Multi-agent Multi-objective Systems
• Nitin Kulkarni, Jake Sanders, Chunming Qiao and Alina Vereshchaka

• Leveraging Topic Modeling and Toxicity Analysis to understand China-Uyghur Conflicts
• Connice Trimmingham and Nitin Agarwal

• Improving Vaccine Stance Detection by Combining Online and Offline Data
• Anique Tahir, Lu Cheng, Paras Sheth and Huan Liu

• CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research
• Bohan Jiang, Paras Sheth, Baoxin Li and Huan Liu

• A simulation test bed for evaluating data analytics predictors of disinformation flow
• Kiran Lakkaraju, Matthew Sweitzer, Asmeret Naugle, Steven Wiryadinata and Griffin Lehrer

• Human Behavior Modeling of Crowds: Coding Individuals and Social Influences
• Susan Aros and Anne Marie Baylouny

• A Complex, Integrative Agent-Based Model of Disinformation Cascades
• Matthew Sweitzer, Kiran Lakkaraju, Asmeret Naugle, Steven Wiryadinata and Griffin Lehrer

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