skip to main content
10.1145/2505515.2505813acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
review-article

PLEAD 2013: politics, elections and data

Published:27 October 2013Publication History

ABSTRACT

What is the role of the internet in politics general and during campaigns in particular? And what is the role of large amounts of user data in all of this?

In the 2008 and 2012 U.S. presidential campaigns the Democrats were far more successful than the Republicans in utilizing online media for mobilization, co-ordination and fundraising. Year over year, social media and the Internet plays a fundamental role in political campaigns. However, technical research in this area is still limited and fragmented. The goal of this workshop is to bring together researchers working at the intersection of social network analysis, computational social science and political science, to share and discuss their ideas in a common forum; and to inspire further developments in this growing, fascinating field.

References

  1. A. Abramowitz, J. Campbell, R. Cook, M. Toner, D. Owen, N. Cohn, G. Skelley, K. Kondik, J. Bouie, R. Costa, et al. Barack Obama and the new America: the 2012 election and the changing face of politics. Rowman & Littlefield, 2013.Google ScholarGoogle Scholar
  2. J. An, M. Cha, K. P. Gummadi, J. Crowcroft, and D. Quercia. Visualizing media bias through twitter. ICWSM, 2012.Google ScholarGoogle Scholar
  3. M. Conover, B. Gonçalves, A. Flammini, and F. Menczer. Partisan asymmetries in online political activity. EPJ Data Science, 1(1):1--19, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  4. M. Conover, J. Ratkiewicz, M. Francisco, B. Gonçalves, F. Menczer, and A. Flammini. Political polarization on twitter. In ICWSM, 2011.Google ScholarGoogle Scholar
  5. M. D. Conover, B. Gonçalves, J. Ratkiewicz, A. Flammini, and F. Menczer. Predicting the political alignment of twitter users. In PASSAT-SOCIALCOM, pages 192--199, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  6. A. T. Hadgu, K. Garimella, and I. Weber. Political hashtag hijacking in the us. In WWW, pages 55--56, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Hanna, C. Wells, P. Maurer, L. Friedland, D. Shah, and J. Matthes. Partisan alignments and political polarization online: A computational approach to understanding the french and us presidential elections. In PLEAD, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. M. Hindman. The myth of digital democracy. Princeton University Press, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. M. Huberty. Multi-cycle forecasting of congressional elections with social media. In PLEAD, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. P. Hyman. 'small data'enabled prediction of obama's win, say economists. CACM, 56(5):23--25, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Issenberg. The creepiness factor, 2012. http://www.slate.com/articles/news_and_politics/victory_lab/2012/04/web_based_political_ads_why_they_scare_the_obama_and_romney_campaigns.html.Google ScholarGoogle Scholar
  12. A. Jungherr. Tweets and votes, a special relationship: The 2009 federal election in germany. In PLEAD, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. D. Lazer, A. S. Pentland, L. Adamic, S. Aral, A. L. Barabasi, D. Brewer, N. Christakis, N. Contractor, J. Fowler, M. Gutmann, et al. Life in the network: the coming age of computational social science. Science, 323(5915):721, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  14. M. Pennacchiotti and A.-M. Popescu. Democrats, republicans and starbucks afficionados: user classification in twitter. In KDD, pages 430--438, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. R. Rogers. The end of the Virtual-Digital methods. Inaugural speech, 2009.Google ScholarGoogle Scholar
  16. T. Small. The facebook effect? on-line campaigning in the 2008 canadian and us elections. POLICY, 85, 2008.Google ScholarGoogle Scholar
  17. A. Smith. The internet's role in campaign 2008. Pew Internet & American Life Project, 15, 2009.Google ScholarGoogle Scholar
  18. T. Venturini. Building on faults: how to represent controversies with digital methods. PUS, 2010.Google ScholarGoogle Scholar
  19. I. Weber, V. R. K. Garimella, and E. Borra. Mining web query logs to analyze political issues. In WebSci, pages 330--337, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. I. Weber, V. R. K. Garimella, and E. Borra. Inferring audience partisanship for youtube videos. In WWW, pages 43--44, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. PLEAD 2013: politics, elections and data

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management
        October 2013
        2612 pages
        ISBN:9781450322638
        DOI:10.1145/2505515

        Copyright © 2013 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 27 October 2013

        Check for updates

        Qualifiers

        • review-article

        Acceptance Rates

        CIKM '13 Paper Acceptance Rate143of848submissions,17%Overall Acceptance Rate1,861of8,427submissions,22%

        Upcoming Conference

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader