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Call for Papers
Workshop on Social Media Analytics (SOMA 2010)
Held in conjunction with
ACM Conference on Knowledge Discovery and Data Mining (KDD-2010)
July 25, 2010
Washington, DC
http://snap.stanford.edu/soma2010/
Papers due: May 7, 2010
Acceptance notification: May 21, 2010
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The explosion of Online Social Media in the form of user-generated
content on blogs, microblogs (Twitter), discussion forums, product
reviews and multimedia sharing sites presents many new opportunities
and challenges to both producers and consumers of information. For
producers, this user-generated content provides a rich source of
implicit consumer feedback. Tracking the pulse of the ever-expanding
social media outlets, enables companies to discern what consumers are
saying about their products, which provides useful insight on how to
improve and market products better. For consumers, the plethora of
information and opinions from diverse sources helps them tap into the
wisdom of crowds, to aid in making more informed decisions. Though
there is a vast quantity of information available, the consequent
challenge is to be able to analyze the large volumes of user-generated
content and the implicit (or explicit) links between users, in order
to glean meaningful insights therein. This has given rise to the
emerging discipline of Social Media Analytics, which draws from Social
Network Analysis, Machine Learning, Data Mining, Information Retrieval
(IR), and Natural Language Processing.
We invite papers on all forms of Social Media including blogs
(Blogger, LiveJournal), micro-blogs (Twitter, FMyLife), social
networking (Facebook, LinkedIn), wikis (Wikipedia, Wetpaint), social
bookmarking (Delicious, CiteULike), social news (Digg, Mixx), reviews
(ePinions, Yelp), and multimedia sharing (Flickr, Youtube).
Topics of interest include, but are not limited to:
* Assessing relevance of blogs, posts and tweets
* Determining subjectivity in text – sentiment analysis and opinion mining
* Metrics, models and measurement of influence of blogs and individuals
* Detecting emerging topics and buzz
* Relevance classification of blogs/posts based on content and link structure
* Validating measures of influence and authority in blog/twitter networks
* Identifying topic-specific sentiment expressed in posts
* Adapting sentiment detection to different domains, e.g. by transfer learning
* Tracking topics or the evolution of topics over time
* Modeling and influencing diffusion of information in networks
* Scaling algorithms to the size of the blogosphere
* Notions of trust and reliability of information
* Coping with information overload
* Novel social media applications
Invited Speakers
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Natalie Glance, Google (founder of BlogPulse)
Rohini Srihari, SUNY Buffalo (founder of Cymfony, CEO of Jayna)
Lillian Lee, Cornell University
Sinan Aral, NYU Stern School of Business
Workshop Organizers
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Prem Melvile, IBM Research ([log in to unmask])
Jure Leskovec, Stanford University ([log in to unmask])
Foster Provost, NYU Stern School of Business ([log in to unmask])
Program Committee
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Lada Adamic, University of Michigan
Lise Getoor, University of Maryland, College Park
Lyle Ungar, University of Pennsylvania
Natalie Glance, Google
Brian Davison, Lehigh University
Rohini Srihari, SUNY Buffalo
Jennifer Neville, Purdue University
Tina Eliassi-Rad, Lawrence Livermore National Laboratory
Ian Soboroff, NIST
Shawndra Hill, Wharton, University of Pennsylvania
Panos Ipeirotis, NYU Stern School of Business
Vikas Sindhwani, IBM Research
Nick Koudas, University of Toronto
Sofus Macskassy, Fetch Technologies & USC
Anindya Ghose, NYU Stern School of Business
Chris Diehl, Lawrence Livermore National Laboratory
Steven Skiena, SUNY at Stony Brook
Eytan Adar, University of Washington
Tanya Berger-Wolf, University of Illinois at Chicago
Mohammad Mahdian, Yahoo! Research
Brian Dalessandro, Media6Degrees
Rada Mihalcea, University of North Texas
Bo Pang, Yahoo! Research
Sinan Aral, NYU Stern School of Business
======== Sponsored by IBM Research ========
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