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A second and final reminder to consider submitting your research to ICWSM. Abstracts are due in less than two weeks (15 Jan) and full papers in three (22 Jan). ICWSM authors also have the option of submitting to a "Social Science track" that preserves the option of subsequent journal publication.



* Abstracts Due: January 15, 2014 (by 11:59 pm PST)
* Full Papers Due: January 22, 2014 (by 11:59 pm PST)
* Acceptance Notification: March 10, 2014
* Conference: June 1-4, 2014 in Ann Arbor, Michigan

The International AAAI Conference on Weblogs and Social Media (ICWSM) is a forum for researchers in computer science and social science to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of online social media. This overall theme includes research in new perspectives in social theories, as well as computational algorithms for analyzing social media. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through social media while advancing computational tools for vast and unstructured data.

ICWSM, now in its eighth year, has become one of the premier venues for computational social science, and previous years of ICWSM have featured papers, posters, and demos that draw upon network science, machine learning, computational linguistics, sociology, communication, and political science. The uniqueness of the venue and the quality of submissions have contributed to a fast growth of the conference and a competitive acceptance rate of 20% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI). 

For ICWSM-14, in addition to the usual program of contributed technical talks, posters and invited presentations, the main conference will include a selection of keynote talks from prominent social scientists and technologists. Building on successes in previous years, ICWSM-14 will also hold a day of workshops and tutorials in addition to the main conference.


Full paper format: Full paper submissions to ICWSM are recommended to be 8 pages long, and must be at most 10 pages long, including figures and references. The final camera-ready length (between 8-10 pages) for each full paper in the proceedings will be at the discretion of the program chairs. All papers must follow AAAI formatting guidelines.
Poster and demo paper format: Poster paper submissions to ICWSM must be 4 pages long, including figures and references. Demo paper submissions to ICWSM must be 2 pages long, including figures and references. All papers must be follow AAAI formatting guidelines.

Anonymity: Paper submissions to ICWSM must be anonymized.

Social science track with only abstracts in the proceedings: We will be continuing the “social science” track at ICWSM-14 following its successful debut in 2013. This option is for researchers in social science who wish to submit full papers without publication in the conference proceedings. While papers in this track will not be published, we expect these submissions to describe the same high-quality and complete work as the main track submissions. Papers accepted to this track will be full presentations integrated with the conference, but they will be published only as abstracts in the conference proceedings.


* Computational approaches to social media research including
   * Natural language processing
   * Text / data mining
   * Machine learning
   * Image / multimedia processing
   * Graphics and visualization
   * Distributed computing
   * Graph theory and graphical models
   * Human-computer interaction
* Social science approaches to social media research including
   * Psychology
   * Sociology and social network analysis
   * Communication
   * Political science
   * Economics
   * Anthropology
   * Media studies and journalism 
* Interdisciplinary approaches to social media research combining computational algorithms and social science methodologies

* Weblogs (posts, comments, and/or social shares)
* Social networking sites (e.g., Facebook, LinkedIn)
* Microblogs (e.g., Twitter, Tumblr)
* Wiki-based knowledge sharing sites (e.g., Wikipedia)
* Social news sites and websites of news media (e.g., Huffington Post) 
* Forums, mailing lists, newsgroups
* Community media sites (e.g., YouTube, Flickr, Instagram)
* Social Q & A sites (e.g., Quora, Yahoo Answers)
* User reviews (e.g., Yelp, Amazon.com)
* Social curation sites (e.g., Reddit, Pinterest)
* Location-based social networks (e.g., Foursquare)

* Psychological, personality-based and ethnographic studies of social media
* Analysis of the relationship between social media and mainstream media
* Qualitative and quantitative studies of social media
* Centrality/influence of social media publications and authors
* Ranking/relevance of blogs and microblogs; web page ranking based on weblogs 
* Social network analysis; communities identification; expertise and authority discovery
* Collaborative filtering
* Trust; reputation; recommendation systems
* Human computer interaction; social media tools; navigation and visualization
* Subjectivity in textual data; sentiment analysis; polarity/opinion identification and extraction, linguistic analyses of social media behavior
* Text categorization; topic recognition; demographic/gender/age identification
* Trend identification and tracking; time series forecasting
* Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health
* New social media applications; interfaces; interaction techniques
* Social innovation and effecting change through social media
* Social media usage on mobile devices; location, human mobility, and behavior
* Organizational and group behavior mediated by social media; interpersonal communication mediated by social media
* Studies of digital humanities (culture, history, arts) using social media


General Co-Chairs
Eytan Adar, University of Michigan
Paul Resnick, University of Michigan

Munmun De Choudhury, Microsoft Research
Bernie Hogan, Oxford Internet Institute
Alice Oh, KAIST

Brian C. Keegan, Ph.D.
Post-Doctoral Research Fellow, Lazer Lab
College of Social Sciences and Humanities, Northeastern University
Fellow, Institute for Quantitative Social Sciences, Harvard University
Affiliate, Berkman Center for Internet & Society, Harvard Law School

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