Social media messaging has played a decisive role in strengthening Ukraine's will to fight—arguably the single most important factor in war—against Russia.
Mar 22, 2022
Stars and Stripes
Bill Marcellino is a senior behavioral scientist at the RAND Corporation, professor of text analytics at the Pardee RAND Graduate School, and lecturer at Carnegie Mellon University and Johns Hopkins University. He was trained as a sociolinguist and corpus linguist, and at RAND he develops analytic toolsets, including RAND-Lex, RAND's proprietary text analytics suite. Marcellino teaches text analytics methods for big datasets (e.g. social media), as well as qualitative research methods. His research focuses on information as a warfighting function, intelligence, military resilience, counter-violent extremism/terrorism, and social media as a data source. He has also served as a U.S. Marine tank officer and enlisted rifleman. Marcellino received his Ph.D. in rhetoric from Carnegie Mellon University.
William M. Marcellino, Kim Cragin, Joshua Mendelsohn, Andrew Cady, Madeline Magnuson, and Kathleen Reedy, "Measuring the Popular Resonance of Daesh’s Propaganda," Journal of Strategic Security, 10(1), 2017
Marcellino, William, Kate Cox, Katerina Galai, Linda Slapakova, Amber Jaycocks, and Ruth Harris, Human-machine detection of online-based malign information, RAND Corporation (RR-A519-1), 2020
William M. Marcellino, "Talk like a Marine: USMC linguistic acculturation and civil-military argument," Discourse Studies, 16(3), 2014
William M. Marcellino, "Revisioning Strategic Communication Through Rhetoric & Discourse Analysis," Joint Forces Quarterly, (76), 2016
Christopher Paul & William M. Marcellino, Dominating Duffer’s Domain: Lessons for the 21st Century Information Operations Practitioner, RAND Corporation (RR-1166), 2017
Kavanagh, Jennifer, William Marcellino, Jonathan S. Blake, Shawn Smith, Steven Davenport, and Mahlet G. Tebeka,, News in a Digital Age: Comparing the Presentation of News Information over Time and Across Media Platforms., RAND Corporation, (RR-2960), 2019
Johnson, Christian, William Marcellino, Bag-of-Words Algorithms Can Supplement Transformer Sequence Classification & Improve Model Interpretability, RAND Corporation (WR-A1719-1), 2022
Marcellino, William, Smith, Meagan, Paul, Christopher, & Skrabala, Lauren., Monitoring Social Media: Lessons Learned for Future Department of Defense Social Media analysis in Support of Information Operations, RAND Corporation (RR-1742)
Interviews: BTRtoday; The World and Everything in It