Doing Big Things in a Small Way: A Social Media Analytics Approach to Information Diffusion During Crisis Events in Digital Influencer Networks

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aut.relation.journalAustralasian Journal of Information Systems
aut.relation.volume28
dc.contributor.authorKishore, Shohil
dc.contributor.authorErrmann, Amy
dc.date.accessioned2024-02-13T00:23:43Z
dc.date.available2024-02-13T00:23:43Z
dc.date.issued2024-01-28
dc.description.abstractDigital influencers play an essential role in determining information diffusion during crisis events. This paper demonstrates that information diffusion (retweets) on the social media platform Twitter (now X) highly depends on digital influencers’ number of followers and influencers’ location within communication networks. We show (study 1) that there is significantly more information diffusion in regional (vs. national or international) crisis events when tweeted by micro-influencers (vs. meso- and macro-influencers). Further, study 2 demonstrates that this pattern holds when micro-influencers operate in a local location (are located local to the crisis). However, effects become attenuated when micro-influencers are situated in a global location (outside of the locality of the event). We term this effect ‘influencer network compression’ – the smaller in scope a crisis event geography (regional, national, or international) and influencer location (local or global) becomes, the more effective micro-influencers are at diffusing information. This shows that those who possess the most followers (meso- and macro-influencers) are less effective at attracting retweets than micro-influencers situated local to a crisis. As online information diffusion plays a critical role during public crisis events, this paper contributes to both practice and theory by exploring the role of digital influencers and their network geographies in different types of crisis events.
dc.identifier.citationAustralasian Journal of Information Systems, ISSN: 1039-7841 (Print); 1326-2238 (Online), Australian Journal of Information Systems, 28. doi: 10.3127/ajis.v28.4429
dc.identifier.doi10.3127/ajis.v28.4429
dc.identifier.issn1039-7841
dc.identifier.issn1326-2238
dc.identifier.urihttp://hdl.handle.net/10292/17222
dc.publisherAustralian Journal of Information Systems
dc.relation.urihttps://journal.acs.org.au/index.php/ajis/article/view/4429
dc.rightsCopyright (c) 2024 Shohil Kishore, Amy Errmann Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. AJIS publishes open-access articles distributed under the terms of a Creative Commons Non-Commercial and Attribution License which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and AJIS are credited. All other rights including granting permissions beyond those in the above license remain the property of the author(s).
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/
dc.subject46 Information and Computing Sciences
dc.subject3503 Business Systems In Context
dc.subject4609 Information Systems
dc.subject35 Commerce, Management, Tourism and Services
dc.subject0806 Information Systems
dc.subject1503 Business and Management
dc.subject3503 Business systems in context
dc.subject4609 Information systems
dc.titleDoing Big Things in a Small Way: A Social Media Analytics Approach to Information Diffusion During Crisis Events in Digital Influencer Networks
dc.typeJournal Article
pubs.elements-id537760
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