Difference between revisions of "ICWSM 2009"
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* [01] Psychological, personality-based and ethnographic studies of social media | * [01] Psychological, personality-based and ethnographic studies of social media | ||
* [02] Analyzing relationship between social media and mainstream media | * [02] Analyzing relationship between social media and mainstream media | ||
− | * [03] Centrality/influence of social media publications and authors both | + | * [03] Centrality/influence of social media publications and authors both within genres and between genres of data |
− | |||
* [04] Ranking/relevance of blogs; web page ranking based on blogs | * [04] Ranking/relevance of blogs; web page ranking based on blogs | ||
* [05] Data acquisition: crawling/spidering and indexing | * [05] Data acquisition: crawling/spidering and indexing | ||
− | * [06] Human computer interaction; social media tools; navigation and | + | * [06] Human computer interaction; social media tools; navigation and visualization |
− | + | * [07] Multimedia: tools and techniques for distribution, sharing, and analysis of social activity with/around multimedia. | |
− | * [07] Multimedia: tools and techniques for distribution, sharing, and | + | * [08] Semantic analysis; cross-system and cross-media name tracking; named relations and fact extraction; discourse analysis; summarization |
− | + | * [09] Semantic Web; unstructured knowledge management; collaborative creation of structured knowledge | |
− | * [08] Semantic analysis; cross-system and cross-media name tracking; | + | * [10] Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction |
− | + | * [11] Social network analysis; communities identification; expertise and authority discovery; collaborative filtering | |
− | * [09] Semantic Web; unstructured knowledge management; collaborative | + | * [12] Text categorization; topic recognition; demographic/gender/age identification |
− | + | * [13] Trend identification and tracking; time series forecasting; measuring predictability of phenomena based on social media | |
− | * [10] Subjectivity in textual data; sentiment analysis; polarity/opinion | ||
− | |||
− | * [11] Social network analysis; communities identification; expertise and | ||
− | |||
− | * [12] Text categorization; topic recognition; demographic/gender/age | ||
− | |||
− | * [13] Trend identification and tracking; time series forecasting; | ||
− | |||
* [14] New social media applications; interfaces; interaction techniques | * [14] New social media applications; interfaces; interaction techniques | ||
* [15] Trust; reputation; recommendation systems | * [15] Trust; reputation; recommendation systems |
Latest revision as of 17:28, 13 October 2008
ICWSM 2009 | |
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3rd Int'l AAAI Conference on Weblogs and Social Media
| |
Event in series | ICWSM |
Dates | 2009/05/17 (iCal) - 2009/05/20 |
Homepage: | www.icwsm.org/2009 |
Location | |
Location: | San Jose, California, USA |
Loading map... | |
Important dates | |
Posters: | 2009/01/21 |
Demos: | 2009/01/21 |
Submissions: | 2009/01/21 |
Notification: | 2009/02/27 |
Camera ready due: | 2009/03/10 |
Table of Contents | |
Contents | |
The social and community driven aspects of our digital lives continue to
rapidly increase, resulting in transformative behaviours and,
significantly, publishing and distributing huge amounts of fascinating
data. The International Conference on Weblogs and Social Media will meet
once more in 2009 to discuss the latest research analyzing and
leveraging this resource. As with previous meetings, we will bring
together a wide range of researchers and industry practitioners from
many disciplines providing a unique opportunity for sharing ideas and
collaboration in this space.
Sponsored by the Association for the Advancement of Artificial Intelligence
Topics
Disciplines which are relevant to our meeting include computer science, linguistics, psychology, statistics, sociology, multimedia and semantic web technologies. The following are key areas of interest:
- [01] Psychological, personality-based and ethnographic studies of social media
- [02] Analyzing relationship between social media and mainstream media
- [03] Centrality/influence of social media publications and authors both within genres and between genres of data
- [04] Ranking/relevance of blogs; web page ranking based on blogs
- [05] Data acquisition: crawling/spidering and indexing
- [06] Human computer interaction; social media tools; navigation and visualization
- [07] Multimedia: tools and techniques for distribution, sharing, and analysis of social activity with/around multimedia.
- [08] Semantic analysis; cross-system and cross-media name tracking; named relations and fact extraction; discourse analysis; summarization
- [09] Semantic Web; unstructured knowledge management; collaborative creation of structured knowledge
- [10] Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction
- [11] Social network analysis; communities identification; expertise and authority discovery; collaborative filtering
- [12] Text categorization; topic recognition; demographic/gender/age identification
- [13] Trend identification and tracking; time series forecasting; measuring predictability of phenomena based on social media
- [14] New social media applications; interfaces; interaction techniques
- [15] Trust; reputation; recommendation systems
Important dates
- Tutorial Proposals: December 1, 2008
- Paper Submission: January 21, 2009
- Poster/Demo Submission: January 21, 2009
- Paper Acceptance: February 27, 2009
- Poster/Demo Acceptance: February 27, 2009
- Camera Ready Copies: March 10, 2009
- Tutorials: May 17, 2009
- Conference: May 18-20, 2009
Submission
People interested in participating should submit through the ICWSM-09 website a technical paper (up to 8 pages), poster or demo description (up to 2 pages) by the deadlines given above (Midnight PST). Papers must be must be formatted in AAAI two-column, camera-ready style (see the AAAI author instructions page at http://www.aaai.org/Publications/Author/author.php). Authors must register at the ICWSM-09 technical paper submission web site (available by November 15, 2008). The software will assign a password, which will enable the author to log on to submit an abstract and paper. In order to avoid a rush at the last minute, authors are encouraged to register as soon as possible.
Submissions to Other Conferences or Journals ICWSM-09 will not accept any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a journal or conference. This restriction does not apply to submissions for workshops and other venues with a limited audience.
- REGISTRATION
All accepted papers and extended abstracts will be published in the conference proceedings. At least one author must register for the conference by the deadline for camera-ready copy submission. In addition, the registered author must attend the conference to present the paper in person.
- PUBLICATION
All accepted papers and abstracts will be allocated eight (8) pages in the conference proceedings. Authors will be required to transfer copyright of their paper to AAAI.
- DATA CHALLENGE
ICWSM-09 is planning to release a large blog dataset in conjunction with the conference. This data will include the full content and markup of the blog post as well as extracted text. The conference invites researchers to explore the dataset and submit their findings as technical papers. More information will appear soon on the conference website.
- KEYNOTE SPEAKERS AND TUTORIAL SPEAKERS
Traditionally the conference invites world renowned experts to present tutorials and give keynote talks. These will be announced soon.
Commitee
- General Co-Chairs
- William W. Cohen, Carnegie Mellon/Google
- Nicolas Nicolov, J.D.Power and Assoc., McGraw-Hill
- Program Chairs
- Natalie Glance, Google
- Matthew Hurst, Live Labs, Microsoft
- Data Chairs
- Ian Soboroff, NIST
- Akshay Java, UMBC
- Local Chair
- Cameron Marlow, Facebook
- Program Committee Members
- Lada Adamic, University of Michigan, USA
- Navot Akiva, Pudding Media, Israel
- Noor Ali-Hasan, Microsoft, USA
- Bettina Berendt, Katholieke Universiteit Leuven, Germany
- Chris Brooks, University of San Francisco, USA
- Claire Cardie, Cornell University, USA
- Steve Cayzer, HP Labs, UK
- Lili Cheng, Microsoft, USA
- Maarten de Rijke, University of Amsterdam, The Netherlands
- Thierry Declerck, DFKI GmbH, Germany
- Brian Dennis, Lockheed Martin Corporation, USA
- Chris Diehl, The Johns Hopkins University Applied Physics Laboratory, USA
- Joan Morris DiMicco, IBM Research, USA
- Nathan Eagle, Massachusetts Institute of Technology, USA
- Miriam Eckert, J.D. Power and Assoc., McGraw-Hill, USA
- Raymond Elferink, RayCom B.V., The Netherlands
- Andrew Fiore, University of California, Berkeley, USA
- Michael Gamon, Microsoft, USA
- Kathy E Gill, University of Washington, USA
- Scott Golder, Cornell University, USA
- Marko Grobelnik, J. Stefan Institute, Slovenia
- Michelle Gumbrecht, Palo Alto Research Center, USA
- John Henderson, MITRE, USA
- Nancy Ide, Vassar College, USA
- Steliana Ivanova, Umbria Inc., USA
- Heng Ji, The City University of New York, USA
- Anupam Joshi, University of Maryland, Baltimore County, USA
- Jussi Karlgren, Swedish Institute of Computer Science, Sweden
- Jason Kessler, Indiana University, USA
- Pranam Kolari, Yahoo!, USA
- Christian Konig, Microsoft, USA
- Moshe Koppel, Bar-Ilan University, Israel
- Gueorgi Kossinets, Google, USA
- Andrea La Pietra, University of California, Berkeley, USA
- Thomas Lento, Facebook, USA
- Kristina Lerman, University of Southern California, USA
- Jure Leskovec, Carnegie Mellon University, USA
- Naohiro Matsumura, Osaka University, Japan
- Charles Mi, Opinmind, USA
- Rada Mihalcea, University of North Texas, USA
- Gilad Mishne, Yahoo!, USA
- Paola Monachesi, Universiteit Utrecht, The Netherlands
- Mor Naaman, Rutgers University, USA
- Kate Niederhoffer, Nielsen, USA
- Scott Nowson, Appen, Australia
- Manabu Okumura, Tokyo Institute of Technology, Japan
- Livia Polanyi, Powerset/Microsoft, USA
- John Prager, IBM Research, USA
- Stephan Raaijmakers, TNO ICT, The Netherlands
- Drago Radev, University of Michigan, USA
- Laura Ripamonti, Università degli Studi di Milano, Italy
- Tamas Sarlos, Yahoo!, USA
- Jonathan Schler, Peer39, Israel
- David A. Shamma, Yahoo! Research, USA
- James G. Shanahan, USA
- Xiaolin Shi, University of Michigan, USA
- Sanjay Sood, allvoices, USA
- Ellen Spertus, Google, USA
- Siddharth Suri, Yahoo!, USA
- Hideaki Takeda, National Institute of Informatics, Japan
- Jiang Yang, University of Michigan, USA
- Cheng Zhai, University of Illinois at Urbana-Champaign, USA
- Jun Zhang, University of Michigan, USA
- Ding Zhou, Facebook, USA