Professor of Media and Communications Studies Lynne Edwards has been named a Distinguished Research Fellow at the Annenberg Public Policy Center of the University of Pennsylvania. The Annenberg Public Policy Center (APPC) has been the premier communication policy center in the country since its founding in 1993 with the mission of applying knowledge about communication to improve the well-being of individuals. Its Distinguished Research Fellows work together with APPC scholars to collaborate on analysis of data, conduct joint funded research projects, and participate in seminar and lecture series.
Dr. Edwards holds a B.A. from Ursinus, and her M.A. and Ph.D. from the Annenberg School for Communication, University of Pennsylvania. She is the author of “Slaying in Black and White: Kendra as Tragic Mulatta in Buffy the Vampire Slayer” in Fighting the Forces: Essays on the Meaning of Buffy the Vampire Slayer, Rhonda Wilcox and David Lavery, editors (Rowman & Littlefield, 2002) and the co-editor of the anthology Buffy Goes Dark: Essays on the Final Two Seasons of Buffy the Vampire Slayer on Television, with James South and Elizabeth Rambo (McFarland Publishers, 2008). Dr. Edwards has also published youth media-based research, “Black Like Me: Value commitment and Television Viewing Preferences of U.S. Black Teenage Girls” in Black Marks: Minority Ethnic Audiences and Media, Karen Ross, editor (Ashgate, 2001), and “Victims, Villains, and Vixens: Teen girls and Internet Crime” in Girl Wide Web: Girls, the Internet, and the Negotiation of Identity, Sharon Mazzarella, editor. (New York: Peter Lang Publishing, 2005).
Currently, Dr. Edwards is the co-principal investigator with Dr. April Kontostathis on a three–year $498,000 grant from the National Science Foundation to study and prevent cyber-bullying and cyber-predation; she recently co-authored a publication from this work, “ChatCoder: Toward the Tracking and Categorization of Internet Predators” (with Dr. April Kontostathis and Amanda Leatherman, UC ’09) In Proc. Text Mining Workshop 2009 held in conjunction with the Ninth SIAM International Conference on Data Mining (SDM 2009).