About this event
Deception is one of the most significant and pervasive social phenomena of our age, but the psychology of deception is poorly understood in the context of cybersecurity. We know little about important questions, including: How does communication technology change the ways and reasons we deceive others? Can people detect if they are being lied to in online contexts any better (or worse) than offline? And can computer programs identify patterns on the Internet that reveal whether someone is lying or not that can exceed human-detection? In this talk we will examine these questions and recent research that may shed some light on the answers, focusing on the motivations for deception, a review of the state-of-the-art in deception detection research, and a sense of what the future holds for the way we lie.
Jeff Hancock is an Associate Professor in the Departments of Communication and Information Science. He is currently the Chair of the Information Science Department and the co-Director of Cognitive Science at Cornell University. He is also Associate Editor of Discourse Processes. His work is concerned with how social media affect psychological and interpersonal processes, with a particular emphasis on understanding how language can reveal psychological and social dynamics, such as deception and credibility, emotional contagion, intimacy and relationships, and social support. Funding from the National Science Foundation and the Department of Defense supports his research, which has been frequently featured in the popular media, including the New York Times, CNN, NPR, and the BBC. Dr. Hancock earned his PhD in psychology at Dalhousie University, Canada, and joined Cornell in 2002.
To Join the Webinar:
The Webinar will be held from 12:00-1:00pm EST on July 19, 2012 in Room 110.
To attend virtually, please register by July 18, 23:59 PDT at: https://mmancusa.webex.com/mmancusa/j.php?ED=186308907&RG=1&UID=0&RT=MiMxMQ%3D%3D
After your registration is accepted, you will get an email with a URL to join the meeting. Please be sure to join a few minutes before the start of the webinar. This system does not establish a voice connection on your computer; instead, your acceptance message will have a toll-free phone number that you will be prompted to call after joining. Please note that this registration is a manual process; therefore, do not expect an immediate acceptance. In the event the number of requests exceeds the capacity, some requests may have to be denied.