An Application of Epidemiological Modeling to Information Diffusion. - Robert McCormack; William Salter (SBP, 2010)

Analysis of C2 and "C2-Lite" Micro-Message Communications. - Andrew Duchon; Robert McCormack; Brian Riordan; Charlotte Shabarekh; Shawn A. Weil; Ian Yohai (Analyzing Microtext, 2011)

Deriving Population Assessment through Opinion Polls, Text Analytics, and Agent-Based Modeling. - Ian Yohai; Bruce Skarin; Robert McCormack; Jasmine Hsu (SBP, 2014)

Active Inference in Multi-Agent Systems: Context-Driven Collaboration and Decentralized Purpose-Driven Team Adaptation. - Georgiy Levchuk; Krishna R. Pattipati; Adam Fouse; Robert McCormack; Daniel Serfaty (AAAI Spring Symposia, 2018)

Aligning Teams to the Future: Adapting Human-Machine Teams via Free Energy. - Adam Fouse; Georgiy Levchuk; Nathan Schurr; Robert McCormack; Krishna R. Pattipati; Daniel Serfaty (IHSI, 2019)

Productive Online Discourse for Emergency Response. - Gaurav Nuti; Louis Penafiel; Janelle Ward; Abel Salinas; Fred Morstatter; Nathan Schurr; Deirdre Kelliher; Laura Cassani; Robert McCormack (ICWSM Workshops, 2022)

The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA. - Abel Salinas; Parth Vipul Shah; Yuzhong Huang; Robert McCormack; Fred Morstatter (EAAMO, 2023)

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations. - Abel Salinas; Parth Vipul Shah; Yuzhong Huang; Robert McCormack; Fred Morstatter (CoRR, 2023)

"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models. - Abel Salinas; Louis Penafiel; Robert McCormack; Fred Morstatter (CoRR, 2023)

Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions. - Louis Penafiel; Hsien-Te Kao; Isabel Erickson; David Chu; Robert McCormack; Kristina Lerman; Svitlana Volkova (CoRR, 2024)