December 12, 2016 in Barcelona, Spain

Data Mining in Politics

Full Paper Submission Deadline: August 12, 2016

 Call For Papers

Political analysts may once have depended entirely on subjective attributes, such as ethics, charisma, and non-scientific impressions of the electorate to forecast elections, but with the rise of data generated from human daily interaction with software systems, it is possible to add meaningful data-driven attributes to political forecasting alongside all of the demographic information available to today’s political consultant. Big Data collected using internet-of-things devices, online social networks, large-scale surveys, search engine queries, and others can be very useful for forecasting or guiding winning candidates. This applies to fomenting and forecasting political unrest as well as predicting democratic election outcome, as recent work on empirically determining tipping points in influencing public opinion has shown.

Marketing companies and election consultants have long used sophisticated polling techniques in order to determine and shape public opinion so that candidates can use their findings to their advantage. In the last decade, however, we have seen well-known applications of large-scale data analysis in politics. For example, in 2008, President Obama’s campaign very effectively monitored and leveraged social media as an important part of his campaign strategy.

 Topics of Interest

There have been many attempts to utilize data mining algorithms and tools in advertising, financial services, medical applications and others, but rigorous discussion of Big Data techniques in politics have tended to be closely guarded. This workshop aims at bringing together researchers from interdisciplinary areas and strengthens collaboration between the political science and data mining communities in understanding the contemporary use of Big Data techniques in political campaigning. We encourage a useful exchange of ideas, techniques and datasets between researchers, political practitioners, social entrepreneurs, and corporate representatives through the workshop. Possible topics of interest include, but are not limited to:

  • Political dataset collection, dimensionality reduction, cleaning, and processing
  • Applications of Big Data analytics to election campaigns
  • Sentiment analysis to predict political opinions
  • Social network analysis as a tool for political influence and prediction
  • Data-oriented innovations in politics
  • Case studies of data mining tools for politics
  • Data driven approaches to monitoring and fighting terrorist networks


We welcome two different types of publications: regular research papers and application demo papers. The page limit for all papers is 6 pages in the standard IEEE 2-column format (see the template), including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at the conference webpage. Papers should be submitted in PDF format, electronically, using the CyberChair submission system.

Every workshop paper must have at least one paid registration in order to be published. Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS).

Three program committee members will evaluate every submission. In order to offer feedback from technical as well as subject-matter experts, at least one of these three members is from the political science community.

Important Dates

  • August 12, 2016: Due date for full workshop papers
  • September 13, 2016: Notification of workshop papers acceptance to authors
  • September 20, 2016: Camera-ready deadline for accepted papers
  • December 12, 2016: Workshop date

Program Committee

Dr. Paulo Shakarian

Arizona State University

Dr. Cliff Young


Dr. Sam Wang

Princeton University

Dr. Ahmed Farahat

Hitachi Labs

Dr. Bessma Momani

University of Waterloo

Dr. Amir Hajian

Thomson Reuters Labs

Workshop Chairs

Dr. Kenneth Ellis

CTO, Reuters News Agency

Khaled Ammar

University of Waterloo

Dr. Amir Hajian

Thomson Reuters Labs

Accepted Papers

Structural Patterns in the Rise of Germany's New Right on Facebook

Author(s): Sebastian Schelter, Felix Biessmann, Malisa Zobel, and Nedelina Teneva

Leave or Remain? Deciphering Brexit Deliberations on Twitter

Author(s): Apalak Khatua and Aparup Khatua

Change-point Analysis of the Public Mood in UK Twitter during the Brexit Referendum

Author(s): Thomas Lansdall-Welfare, Fabon Dzogang, and Nello Cristianini

Analysing Political Opinions Using Redescription Mining

Author(s): Esther Galbrun and Pauli Miettinen


World Trade Center

Edif Este Moll de Barcelona

(+34) 93 238 14 00


Dr. Amir Hajian

Amir DOT Hajian@thomsonreuters DOT com