Here is the Call for Papers for the
Fourth International AAAI Conference on Weblogs and Social Media (ICWSM-10)
May 23-26, 2010
George Washington University, Washington, DC
Sponsored by the Association for the Advancement of Artificial Intelligence
IMPORTANT DATES:
Tutorial Proposals: December 1, 2009
Paper Submission: January 8, 2010
Poster/Demo Submission: January 8, 2010
Paper Acceptance: March 3, 2010
Poster/Demo Acceptance: March 3, 2010
Workshop Submission: March 1, 2010
Camera Ready Copies: March 12, 2010
Featuring a keynote by:
Professor Bob Kraut, CMU,
on “Designing Online Communities from Theory”
Professor Michael Kearns, Computer and Information Science,
Univ. of Pennsylvania,
on “Behavioral Experiments in Strategic Networks”
Speakers in Special Sessions:
– Nicole Ellison, Dept. of Telecommunication,
Information Studies and Media, Michigan State Univ.
– James Pennebaker, Dept. of Psychology, Univ. of Texas, Austin
– S. Craig Watkins, Dept. of Radio, TV and Film, Univ. of Texas, Austin- Don Burke, CIA Directorate of Science and Technology, Intellipedia
– Haym Hirsh, National Science Foundation IIS Division Director
– Macon Phillips, U.S. White House, Head of New Media
Tutorial Speakers will include:
– Jake Hofman, Yahoo! Research,
“Large-scale social media analytics with Hadoop”
– Cindy Chung and James Pennebaker, Univ. Texas,
“Using LIWC to uncover social psychology in social media”
[Vladimir Barash is liveblogging the ICWSM conference]
10.30am A categorical model for discovering latent structure in social annotations (Said Kashoob)
Given a collection of web objects, users and tags, can we model the underlying tag generation process?
-Discover implict communities of interest?
-Categories of related tags?
-For given category, id most relevant objs for category
-compare categories
Initial thoughts: content-based topic modeling (Latent Dirichlet Allocation, LSA). Recent work applying LDA models to tags (Wu 2006, Zhou 2008)
[Vladimir Barash is liveblogging the ICWSM conference] 9-10AM: A Tempest: Or, on the Flood of Interest in Sentiment Analysis, Opinion Mining, and the Computational Treatment of Subjective Language (Lillian Lee)
-Sentiment analysis using discussion structure: clasify speeches in US congressional floor debates as supporting or opposing proposed legislation -Individual doc classifier -agreement (degree) classifier for pairs of speeches
-Agreement info allows COLLECTIVE CLASSIFICATION – “agreeing speeches should get the same label”
-ECON: debate about effect of sentiment on sales
-comScore (users willing to pay 20-99% more for 5 star item vs. 4 star item)
-Jury is still out
-SOC: What opinions are influential? (Niculescu-Danescu Muzyl et al.)
-Prior work has focused on features of text and has not been in context of sociological aspects of reviews
-look at helpfulness scores
Another conference focused on research on blogs and other forms of social media is "ICWSM" - the International Conference on Weblogs and Social Media. I was able to attend the previous meeting of this conference last March in Seattle and…