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Inducing Six-Word Stories From Curated Text Sets to Anticipate Cyberwar in 4IR
Abstract
From curated “cyberwar” text sets (from government, mainstream journalism, academia, and social media), six-word stories are computationally induced (using word frequency counts, text searches, word network analysis, word clustering, and other means), supported by post-induction human writing. The resulting inducted six-word stories are used to (1) describe and summarize the underlying textual information (to enable a bridge to a complex topic); (2) produce insights about the underlying textual information and related in-world phenomena; and (3) answer particular research questions. These resulting six-word stories are analyzed along multiple dimensions: data sources (government, journalism, academia, and social media), expert calls-and-crowd responses, and by time periods (pre-cyberwar and cyberwar periods). The efficacy of this six-word story induction process is evaluated, and the extracted six-word stories are applied to cyberwar potentials during the Fourth Industrial Revolution (4IR).
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