---------- Forwarded message ---------- From: Brian Keegan <[email protected]> Date: Sun, May 5, 2013 at 1:21 PM Subject: [berkmanfriends] Re: SSCR Special Issue CFP - Quantifying Politics Using Online Data To: Berkman Friends <[email protected]>
Just a friendly reminder that *Social Science Computing Review* has a special issue of "Quantifying Politics Using Online Data" with a June 1 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 10:39 AM, Brian Keegan <[email protected]>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. > ---------- You are subscribed to the BerkmanFriends discussion list. 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