About the Roundtable:
Social media, online news, blogs, etc. – in conjunction with widespread access to the internet from multiple devices including cell phones – is creating a new information environment. In this environment, the norms of social interaction, conversation, public discourse, and news reporting are being rewritten.
In this panel, we explore how Trolls and Bots can shape the conversation, shift public discourse, and build bridges among groups who might not otherwise connect. We explore how fake news can spread and the role of different types of actors in creating, spreading, countering and monitoring such news.
Nitin Agarwal, PhD, is the Jerry L. Maulden-Entergy Endowed Chair and Distinguished Professor of Information Science at University of Arkansas at Little Rock. Agarwal is the director of the Collaboratorium of Social Media and Online Behavioral Studies (COSMOS). His research interests include social computing, (deviant) behavior modeling, group dynamics, influence, trust, collective action, social-cyber forensics, health informatics, data mining, and privacy. He has published widely in top-tier forums with several best paper awards and nominations. Visit his website for more details.
Kathleen M. Carley, PhD, is a Professor of Computation, Organizations and Society and the center director for Computational Analysis of Social and Organizational Systems in the Institute for Software Research, School of Computer Science, at Carnegie Mellon University. She received her PhD in Sociology from Harvard, and an SB in Economics and another in Political Science from Massachusetts Institute of Technology. Her research combines cognitive science, network science, agent-based modeling, social media analytics and language technology to address complex social and organizational problems. Her tool, ORA, is used throughout the world for analyzing and visualizing networks. In 2001, she received a lifetime achievement award in sociology and computers. Visit her website for more details.
Huan Liu, PhD, is a professor of Computer Science and Engineering at Arizona State University. His research interests are in data mining, machine learning, social computing, and artificial intelligence, investigating interdisciplinary problems that arise in many real-world, data-intensive applications with high-dimensional data of disparate forms such as social media. His well-cited publications include books, book chapters, encyclopedia entries as well as conference and journal papers. He is a co-author of Social Media Mining: An Introduction by Cambridge University Press. He is an IEEE Fellow.
Rand Waltzman, PhD, is currently a Senior Information Scientist at the RAND Corporation in Santa Monica, CA. Prior to joining RAND, he was the acting chief technology officer of the Software Engineering Institute (Washington, DC) of Carnegie Mellon University. Before that, he did a five-year tour (his second tour) as a Program Manager in the Information Innovation Office of DARPA where he created and managed the Social Media in Strategic Communications (SMISC) program and the Anomaly Detection at Multiple Scales (ADAMS) insider threat detection program.