3rd Int'l AAAI Conference on Weblogs and Social Media
May 17 - 20, 2009, San Jose, California
Sponsored by the Association for the Advancement of Artificial Intelligence.
Jon Kleinberg, Cornell University, USA
Jon Kleinberg is a Professor of computer science at Cornell University. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other on-line media. He is a member of National Academy of Engineering and the American Academy of Arts and Sciences, and was a recipient of the 2005 MacArthur "Genius Award".
Meme-tracking, Diffusion, and the Flow of On-Line Information
News, discussion, and opinions travel through an overlapping
set of on-line networks, involving e-mail, blogging, and
other forms of communication. We discuss a set of approaches
for tracking pieces of text as they travel and mutate in
these networks, applying these ideas to a set of related problems.
First, we show how this type of analysis can capture temporal
patterns in the news over a daily time-scale --- in particular,
the succession of story lines that evolve, compete for attention,
and collectively produces an effect that commentators refer to as
the `news cycle.' Second, we show how this approach can be combined
with an analysis of network structure to trace the diffusion
of specific pieces of information as they spread between people
at a global scale.
This talk includes joint work with Lars Backstrom, Jure Leskovec,
and David Liben-Nowell.
Lillian Lee, Cornell University, USA
Lillian Lee is an associate professor of computer science at Cornell
University. Her research interests include natural language
processing, information retrieval, and machine learning. She is the
recipient of the inaugural Best Paper Award at HLT-NAACL 2004 (joint
with Regina Barzilay), a citation in "Top Picks: Technology Research
Advances of 2004" by Technology Research News (also joint with Regina
Barzilay), and an Alfred P. Sloan Research Fellowship, and her group's
work has been featured in the New York Times.
A tempest: Or, On the flood of interest in sentiment analysis, opinion
mining, and the computational treatment of subjective language.
"What do other people think?" has always been an important
consideration to most of us when making decisions. Long before the
World Wide Web, we asked our friends who they were planning to vote
for and consulted Consumer Reports to decide which dishwasher to buy.
But the Internet has (among other things) made it possible to learn
about the opinions and experiences of those in the vast pool of people
that are neither our personal acquaintances nor well-known
professional critics --- that is, people we have never heard of.
Enter sentiment analysis, a flourishing research area devoted to the
computational treatment of subjective and opinion-oriented
language. Sample phenomena to contend with range from sarcasm in blog
postings to the interpretation of political speeches. This talk will
cover some of the motivations, challenges, and approaches in this
broad and exciting field.
Duncan Watts, Columbia University, USA and Yahoo! Research
Duncan J. Watts is a professor of sociology at Columbia University.
His research focuses on the structure and evolution of social networks, the origins and consequences of social influence, and the nature of distributed "social" search. Among his many published works, he is particularly known for his 1998 paper with Steven Strogatz in which the two presented a mathematical theory of the small world phenomenon.
Sponsored by the Association for the Advancement of Artificial Intelligence. For more info: email@example.com