THE 8TH INTERNATIONAL AAAI CONFERENCE ON WEBLOGS AND SOCIAL MEDIA (ICWSM-14)
SPONSORED BY THE ASSOCIATION FOR THE ADVANCEMENT OF ARTIFICIAL INTELLIGENCE
* 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.
SUMMARY SUBMISSION GUIDELINE
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.
DISCIPLINES
* 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
TYPES OF SOCIAL MEDIA include
* 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)
TOPICS INCLUDE (BUT ARE NOT LIMITED TO)
* 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
CONFERENCE WEBSITE
http://icwsm.org/2014/
General Co-Chairs
Eytan Adar, University of Michigan
Paul Resnick, University of Michigan
PROGRAM Co-Chairs
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
b.keegan(a)neu.edu
www.brianckeegan.com
M: 617.803.6971
O: 617.373.7200
Skype: bckeegan