SIGKDD Calls for Proposals

ALGORITHMS, AUTOMATION, AND NEWS Conference - Call for Papers

Munich, Germany, 22-23 May 2018

Aim and Scope:

Algorithms and automation are increasingly implicated in many aspects of news production, distribution, and consumption. This three-part call—conference, special issue, and book project— aims to bring together the latest scholarly research on algorithms, automation, and news. In particular, it seeks to organize research on capabilities, cases, and consequences associated with these technologies: explorations of the possibilities and perils, of theory and practice, and of comparative perspectives according to various sites and levels of analysis. Ultimately, we aim for research that provides a future orientation while grounded in appropriate historical context, contemporary empirical research, and rigorous conceptual development.

Confirmed speakers include:

  • Nicholas Diakopoulos, University of Maryland, College Park
  • Professor Philip M. Napoli, Duke University, USA
  • Professor Natali Helberger, University of Amsterdam
  • Professor C. W. Anderson, University of Leeds, UK and College of Staten Island (CUNY)

More details on the conference can be found on the conference website: http://www.algorithmic.news


Submission details and important dates:

  • July 15, 2017: deadline to submit abstracts for proposed conference papers; abstracts should be 500-1,000 words in length (not including references) and sent to conference@algorithmic.news. Please also include a 100-word biography of each author and 6-8 keywords describing your proposal. Work should be original, not previously published elsewhere.
  • Mid-August 2017: decisions on abstracts submitted to the conference
  • February 15, 2018: full 7,000-word papers due for initial round of feedback by conference peers
  • May 22-23, 2018: conference in Munich, Germany, at the Center for Advanced Studies, Ludwig-Maximilians-Universität
  • Post-conference: peer-review and feedback process leading toward publication in either the special issue of Digital Journalism or edited volume


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