CENTRALIZED, PARRALLEL, AND DISTRIBUTED INFORMATION PROCESSING DURING COLLECTIVE SENSEMAKING

Authors

  • PETER KRAFFT Massachusettts Institute of Technology
  • KAITLYN ZHOU University of Washington
  • ISABELLE EDWARDS University of Washington
  • KATE STARBIRD University of Cambridge

DOI:

https://doi.org/10.24234/miopap.v13i1.250

Abstract

Widespread rumoring can hinder attempts to make sense of what is going on during disaster scenarios. Understanding how and why rumors spread in these
contexts could assist in the design of systems that facilitate timely and accurate sensemaking. We address a basic question in this line: To what extent does rumor evolution occur (1) through reliance on a centralized information source, (2) in parallel information silos, or (3) through a web of complex informational interactions? We develop a conceptual model and associated analysis algorithms that allow us to distinguish between these possibilities. 

Author Biography

KATE STARBIRD , University of Cambridge

Cambridge, MA

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Published

2017-04-12

How to Cite

KRAFFT , P. ., ZHOU, K. ., EDWARDS , . I. ., & STARBIRD , K. . (2017). CENTRALIZED, PARRALLEL, AND DISTRIBUTED INFORMATION PROCESSING DURING COLLECTIVE SENSEMAKING. Main Issues Of Pedagogy And Psychology, 13(1), 151-166. https://doi.org/10.24234/miopap.v13i1.250

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