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[liberationtech] CfP: SSCR Special Issue on "Quantifying Politics Using Online Data"

Yosem Companys companys at stanford.edu
Tue Mar 26 07:25:43 PDT 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 sciences<https://sites.google.com/site/qpol2013/organization>
.*
*

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 time<http://www.timeanddate.com/worldclock/city.html?n=103>
)
August 20, 2013 -- Author notification sent out
September 1, 2013 -- Camera ready version due
November 1, 2013 -- Expected online publication<http://online.sagepub.com/site/sphelp/SageColl_PAP.xhtml>
 date
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 experts<https://sites.google.com/site/qpol2013/organization>. 
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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