[Ieee_vis] CFP: Computation + Journalism Symposium 2019 - Miami Feb 1-2 (deadline October 31)

[Matthew Brehmer]

The Computation + Journalism Symposium (http://cplusj.org/) is a celebration and synthesis of new ways to find and tell news stories with, by, and about data and algorithms. It is a venue to seed new collaborations between journalists and computer and data scientists: a bazaar for the exchange of ideas between industry/practice and academia/research.

C+J 2019 will take place at the University of Miami, FL on Feb 1-2, 2019 in the Newman Alumni Center<https://newman-alumni-center.com/>.

See the call for participation<http://cplusj.org/call-for-participation> (http://cplusj.org/call-for-participation) to get involved! Deadline for submissions is October 31, 2018.

We're excited to announce our keynote speakers<http://cplusj.org/program>:

  *   Lisa Gibbs (Associated Press) on news automation
  *   Brian Hamman (New York Times) on engineering editorial products
  *   Yphtach Lelkes (U Penn) on probabilistic election forecast coverage

We invite the submission of contributions exploring the interface between data and computer science and journalism in three categories: research, practice, and technology.

  1.  Research. Academic research papers exploring a question of interest in journalism or data and computing sciences as it relates back to journalism and news information;
  2.  Practice. Journalist-oriented talks focused on experiences or case studies in journalism including stories, visualizations, investigations, or interactive experiences produced with, by, or about data and algorithms;
  3.  Technology. Descriptions of new computational and data-driven tools, platforms, applications, and services that enable novels ways of finding, producing, interacting with, or distributing news content.

SUBMISSION FORMAT

  *   Research contributions should submit a 5-page paper (including references)
  *   Practice and Technology contributions may opt to submit either a 5-page paper, or a 1-page abstract. These contributions will be considered for a standalone talk or a panel.
  *   All submissions must be in PDF and use the standard ACM SIGCHI Template downloadable here.<https://www.acm.org/publications/proceedings-template>

SUBMISSION SITE
Please upload your submission to the EasyChair submission site<https://easychair.org/conferences/?conf=cj2019> (https://easychair.org/conferences/?conf=cj2019) before the deadline.

SUBMISSION DEADLINE
Wednesday October 31, 8pm eastern time.

PRESENTATION FORMAT
Accepted contributions will be invited to present the work in oral, poster, or demo sessions.

PUBLICATION
Written contributions will be published as part of an online proceedings linked off this site but should be considered "non-archival" for the sake of journal submissions elsewhere. At the same time, we highly encourage unique and novel contributions with limited overlap to other related publications the author may have or intend to publish. You can view selected papers from the C+J 2017 Symposium online<http://cj2017.northwestern.edu/schedule/index.html>. Accepted contributions will be invited to extend papers and abstracts into book chapters for an edited collection to be published by Columbia University Press

TOPICS OF INTEREST INCLUDE:

  *   Algorithmic accountability reporting & investigation
  *   Algorithms in news distribution
  *   Algorithmic content curation
  *   Automated and semi-automated content production
  *   Computational and data journalism education
  *   Computational propaganda
  *   Data and computing in different news domains: sports, health, business, economy, politics
  *   Data visualization and storytelling
  *   Data and information gathering via computational means
  *   Design of algorithmic news media applications, tools, or content
  *   Economic, labor, legal, or policy implications of algorithmic news media
  *   Fact-checking, verification, and rumor detection and tracking
  *   Human-computer interaction in news consumption or production
  *   Journalism ethics
  *   Journalistic applications of machine learning, data mining, and artificial intelligence
  *   Media bias and diversity
  *   Newsbots and chatbots
  *   Newsroom challenges with algorithms, automation, and data
  *   News personalization and recommendation
  *   Prediction and simulation
  *   Sensor and drone journalism
  *   Social journalism: sharing, commenting, discussion, community engagement
  *   Structured journalism
  *   Tools, platforms, and services to support journalistic work
  *   Transparency, trust, and credibility
  *   User experiences & interactivity

GENERAL CHAIR

  *   Alberto Cairo, University of Miami

PROGRAM CHAIR

  *   Nicholas Diakopoulos, Northwestern University

PUBLICATIONS CHAIR

  *   Meredith Broussard, New York University

PROGRAM COMMITTEE

  *   Larry Birnbaum, Northwestern University
  *   Matthew Brehmer, Microsoft Research
  *   Sarah Cohen, University of Arizona
  *   Irfan Essa, Georgia Institute of Technology
  *   Rich Gordon, Northwestern University
  *   James Hamilton, Stanford University
  *   Mark Hansen, Columbia University
  *   Behareh Heravi, University College Dublin
  *   Jessica Hullman, Northwestern University
  *   Scott Klein, ProPublica
  *   Seth Lewis, University of Oregon
  *   Cheryl Phillips, Stanford University
  *   Shazna Nessa, Wall Street Journal
  *   Jonathan Stray, Columbia University
  *   John Wihbey, Northeastern University
  *   Elena Zhaleva, University of Illinois, Chicago
  *   Amy Zhang, Massachusetts Institute of Technology
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