[CITASA] SSCR Special Issue CFP - Quantifying Politics Using Online Data

Brian Keegan bkeegan at northwestern.edu
Tue Mar 19 10:36:26 EDT 2013

Social Science Computing Review - Special Issue
Large web-based datasets make possible political studies at a scale
inconceivable just a few decades before. Everything from personal opinions
to popular political movements leaves a footprint online, and provides a
first-hand account of both everyday and historic events. This new data also
calls for new approaches -- quantitative methods developed in the realms of
political and social science, but also in data analysis and mining. Applied
to online data, these make possible language modeling, topic tracking,
novelty detection, social network mining, and many more types of analyses,
all providing new insights into social and political realities.*

The Social Science Computing Review <http://ssc.sagepub.com/> calls for
contributions to a special issue on "Quantifying Politics Using Online
Data". This special issue focuses on the application of quantitative
methods in political analysis of online data. The sources of such data
include, but are not limited to Twitter, Facebook, YouTube, news comments,
Wikipedia edits, discussion forums, blogs, etc. *Interdisciplinary
submissions are particularly encouraged and all submissions will be
reviewed by experts both from political and computer

Important dates

June 1, 2013 -- Abstracts (1 page excluding references) due
June 7, 2013 -- Abstracts notifications sent out
July 7, 2013  -- Submission deadline (11h59pm Hawaii
August 20, 2013 -- Author notification sent out
September 1, 2013 -- Camera ready version due
November 1, 2013 -- Expected online
February 15, 2014 -- Expected print publication date

*Reviewing process*

The special edition will apply a two-step reviewing process. The 1-page
abstract, due by June 1, will be reviewed by the editors and checked for
(i) topical relevance, (ii) presentation quality, (iii) novelty, and (iv)
at least one quantitative finding. This last requirements means that there
has to be *at** least one number in th**e abstract that quantifies some
aspect of politics*. Authors of abstracts that satisfy the conditions are
then invited to submit a full paper by July 7. This paper will then undergo
a conference style reviewing cycle to ensure timely publication. All
submissions will be reviewed by at least three distinct
Additional external reviewers might be called upon depending on the
submission volume. Authors will receive acceptance notification and
detailed feedback from the reviewers on August 20.

About SSCR

Social Science Computer Review (SSCR) is an interdisciplinary journal
covering social science instructional and research applications of
computing, as well as societal impacts of information technology. It was
ranked 26 out of 89 journals in Social Sciences, Interdisciplinary by
Thomson Reuters' 2011 Journal Citation Reports with an impact factor of 1.1.

About the Editors

Yelena Mejova <http://www.linkedin.com/in/yelenamejova> <ymejova (AT)
yahoo-inc (DOT) com> is a post-doctoral researcher at Yahoo!
Research<http://research.yahoo.com/> in
Barcelona, Spain. Specializing in text retrieval and mining, she created
and analyzed multiple web-based datasets, including webpages, blogs,
reviews, and Twitter. This analysis included sentiment detection, political
opinion extraction, and topic tracking, and in particular the political
support classification and evaluation.

Ingmar Weber <http://www.linkedin.com/profile/view?id=164716418> <ingmarweber
(AT) acm (DOT) org> is a Senior Scientist at Qatar Computing Research
Institute <http://qcri.org.qa/>. His research covers a wide subject area
from classical information retrieval, to sponsored search, with recent work
focussing on computational political science and interdisciplinary studies
in web science. He has studied the polarization in US politics in web
search and on Twitter, and is currently investigating Arab politics in
social media.
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