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Authentic chatter

  • Bruce ForresterEmail author
S.I. : Social Cyber-Security

Abstract

This operations research aims to derive an easy but meaningful method for practitioners to identify key influencers and uncover suppressed narratives within a Twitter topic group. This research employs a new concept called “authentic chatter” (analogous to a grass-roots discourse) in combination with influence metrics, content analysis, and commercial-off-the-shelf social media analysis software (NexaIntelligence). The mixed-method exploits the power of social network analysis to determine a small but prominent group of influencers that provides a manageable dataset for the qualitative review of the content. This paper reviews research on social influence and identifies two local influence theories, “indegree” and “retweet”, ideal for topical discussion. Next it reviews Twitter content analysis research looking at specific details on methods. Findings from this past research guide development of a new methodology. The research concludes that use of a prominent group and filtering for authentic chatter increased the signal to noise ratio highlighting important underlying themes within the topic.

Keywords

Authentic chatter Social network analysis Content analysis Mixed-method Twitter analysis 

Notes

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Copyright information

© Crown 2019

Authors and Affiliations

  1. 1.Command Control and Intelligence, Defence Research and Development CanadaQuebec CityCanada

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