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

Brian Keegan bkeegan at northwestern.edu
Sun May 5 13:24:05 EDT 2013


Just a friendly reminder that *Social Science Computing Review* has a
special issue of "Quantifying Politics Using Online Data" with a June 1
abstract deadline and July 7 paper deadline. Details below and feel free to
contact me if you have questions.

https://sites.google.com/site/qpol2013/home


On Tue, Mar 19, 2013 at 10:36 AM, Brian Keegan <bkeegan at northwestern.edu>wrote:

> 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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