Social Media Research Blog

ICWSM Dataset Workshop Accepted Papers

We have a great lineup of papers at the main conference and the dataset workshop. Here are the accepted papers for the workshop

Identifying Personal Stories in Millions of Weblog Entries
Andrew Gordon and Reid Swanson

SentiSearch: Exploring Mood on the Web
Sara Sood and Lucy Vasserman

What Bloggers Talk About: Interconnection and Content Sharing in Weblogs
Meeyoung Cha, Juan Antonio Navarro Perez, and Hamed Haddadi

Event Intensity Tracking in Weblog Collections
Viet Ha Thuc, Yelena Mejova, Christopher Harris and Padmini Srinivasan

Quantification of Topic Propagation using Percolation Theory: A study of the ICWSM Network
Ali Azimi Bolourian, Yashar Moshfeghi and C. J. van Rijsbergen

 

 

 

Also a quick reminder -- Today is the last day for early registrations for ICWSM!

ICWSM 09 Dataset Deadline Reminder

A quick note: So far we have had about 185 Dataset downloads!!

The ICWSM-09 Data Challenge Workshop will be held May 20, 2009 in San Jose, California in conjunction with the Third AAAI International Conference on Weblogs and Social Media. Submissions for the workshop are due March 1, 2009. Please see http://www.icwsm.org/2009/data/ for complete submission details.

The ICWSM-09 Spinn3r blog dataset is a collection of 44 million blog posts made between August 1st and October 1st, 2008, and collected by Spinn3r.com.  This dataset is freely available to researchers under a liberal data usage agreement.

Authors are invited to submit papers to a data challenge workshop to be held on the last day of ICWSM-09. This workshop will feature research papers as well as a wide-ranging discussion of data issues facing the social media research community. Good research topics might include:

* link analysis;
* social network extraction;

* clustering and topic identification;
* tracing the evolution of news;
* blog search and filtering;
* psychological, sociological, ethnographic, or personality-based studies;
* analysis of influence among bloggers;
* blog summarization and discourse analysis.

You should feel free to explore any aspect of the data that you feel would be of interest to the ICWSM community.  An award will be presented at ICWSM for the best paper using the dataset.

Papers may be submitted online at http://www.easychair.org/conferences/?conf=icwsm09dcw.

Submissions may be up to 8 pages in length, must be in PDF format, and must follow the ICWSM formatting guidelines.

Best regards,

Ian Soboroff (NIST)

Akshay Java (Live Labs, Microsoft)

ICWSM-09 Data Chairs

ICWSM 2009 Data Challenge

A quick note:

We have worked with Spinn3r to create a dataset for this year's ICWSM conference. More information is available on the site. We look forward to active participation by the social media research community and hope that you would take advantage of this fabulous resource. Also stay tuned for another awesome dataset to be released shortly.

Continuing the ICWSM tradition, ICWSM 2009 is making a dataset available to researchers in the blog and social media fields. We invite you to download the dataset, explore it, learn something interesting about it, and submit a paper about it to ICWSM 2009.

Good research topics might include...

• link analysis
• social network extraction
• tracing the evolution of news
• blog search and filtering
• psychological, socialogical, ethnographic, or personality-based studies
• analysis of influence among bloggers
• blog summarization and discource analysis

But you should feel free to explore any aspect of the data that you feel would be of interest to the ICWSM community.

Instructions for submitting papers to ICWSM may be found here. When submitting your paper, indicate that it makes use of the dataset. Dataset papers will be reviewed for the main conference, and additionally for presentation at the data challenge workshop to take place on May 20th, 2009 (the last day of the conference). While we anticipate that several dataset papers may appear in the main conference, the data challenge workshop will provide an opportunity for in-depth discussion of the dataset in a more focused forum.