Communication Design Quarterly Sep 2012 Open Access

Visual rhetoric and big data: design of future communication

Michael J. Salvo Purdue University West Lafayette

Abstract

The hype machine---media, corporate communications, and futurist prognosticators---are hard at work promoting Big Data. There are computing and storage resources that, like the "dark fiber" installed at the turn of the millennium that now carries streaming video, are looking for huge data sets that require the powerful processing and tremendous storage capacity of the new infrastructure. And there is no better confluence than that provided by the impetus to rearticulate Communication Design Quarterly in an age of Big Data. The New York Times has been running articles about Big Data for some time: "Big data is all about exploration without preconceived notions."

Journal
Communication Design Quarterly
Published
2012-09-01
DOI
10.1145/2448917.2448925
CompPile
Open Access
OA PDF Gold
Topics
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Citation context

Cited by in this index (9)

  1. Swarts (2025)
    The Construction of Data Usability
    Technical Communication Quarterly
  2. Gallagher et al. (2020)
    Peering into the Internet Abyss: Using Big Data Audience Analysis to Understand…
    Technical Communication Quarterly
  3. Li (2020)
    Visualizing Chinese Immigrants in theU.S. Statistical Atlases: A Case Study in …
    Technical Communication Quarterly
  4. Codding et al. (2019)
    Scientific Emergence and Instantiation Part II: Assembling Synthetic Biology 20…
    Journal of Business and Technical Communication
  5. Colombini et al. (2017)
    Integrating Quantitative Literacy into Technical Writing Instruction
    Technical Communication Quarterly
Show all 9 →
  1. Hepworth (2017)
    Big data visualization: promises & pitfalls
    Communication Design Quarterly
  2. Stephens (2017)
    Doing Big Data: Considering the Consequences of Writing Analytics
    Journal of Writing Analytics
  3. Jones (2015)
    Information Graphics and Intuition: Heuristics as a Techne for Visualization
    Journal of Business and Technical Communication
  4. Graham et al. (2015)
    Statistical Genre Analysis: Toward Big Data Methodologies in Technical Communication
    Technical Communication Quarterly

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