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.

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@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. >