Open AccessCENTRALIZED, PARRALLEL, AND DISTRIBUTED INFORMATION PROCESSING DURING COLLECTIVE SENSEMAKING
Author(s) -
Peter M. Krafft,
Kaitlyn Zhou,
Isabelle Edwards,
Kate Starbird
Publication year - 2017
Publication title -
main issues of pedagogy and psychology/mankavarzhut'yan ev hogebanut'yan himnakhndirner
Language(s) - English
Resource type - Journals
eISSN - 2953-7878
pISSN - 1829-1295
DOI - 10.24234/miopap.v13i1.250
Subject(s) - sensemaking , rumor , computer science , data science , knowledge management , world wide web , public relations , political science
Widespread rumoring can hinder attempts to make sense of what is going on during disaster scenarios. Understanding how and why rumors spread in thesecontexts 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.